Готові списки джерел за темами / Automated cell counting software

Добірка наукової літератури з теми "Automated cell counting software"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Зміст

Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Automated cell counting software".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Статті в журналах з теми "Automated cell counting software"

1

González-González, Rogelio, Nelly Molina-Frechero, Ramón G. Carreón-Burciaga, Sandra López-Verdín, Carlos Robles-Bonilla, Vanesa Pereira-Prado, and Ronell Bologna-Molina. "Comparison between Manual and Automated Methods for Ki-67 Immunoexpression Quantification in Ameloblastomas." Analytical Cellular Pathology 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/7486989.

Повний текст джерела
Анотація:
Ameloblastoma is a common and unpredictable odontogenic tumor with high relapse rates. Several studies assessing the proliferative capacity of these neoplasms have been published, mainly using the protein Ki-67. Cell counts must be completed to determine the cell proliferation rate. Multiple methods have been developed for this purpose. The most widely used method is the labeling index, which has undergone changes over time to better facilitate cell counting. Here, we compared manual cell counting methods with automated cell counting (ImmunoRatio) to determine the relative effectiveness of these methods. The results suggest that ImmunoRatio, a free software tool, may be highly advantageous and provide results similar to manual cell counting methods when used with the appropriate calibration. However, ImmunoRatio has flaws that may affect the labeling index results. Therefore, this automated cell counting method must be supplemented with manual cell counting methods.
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Lucian, Zastko, Bereta Martin, Timko Jaroslav, and Belyaev Igor. "Classifier Spot Count Optimization of Automated Fluorescent Slide Scanning System." Acta Medica Martiniana 22, no. 1 (April 1, 2022): 24–33. http://dx.doi.org/10.2478/acm-2022-0004.

Повний текст джерела
Анотація:
Abstract Purpose: Ionizing radiation induced foci (IRIF) known also as DNA repair foci represent the most sensitive endpoint for assessing DNA double strand breaks (DSB). IRIF are usually visualized and enumerated with the aid of fluorescence microscopy using antibodies to γH2AX and 53BP1. Although several approaches and software packages were developed for the quantification of IRIF, not one of them was commonly accepted and inter-laboratory variability in the outputs was reported. In this study, the sensitization of Metafer software to counting also small appearing IRIF was validated. Materials and Methods: Human lymphocytes were γ-irradiated at a dose of 2 Gy. The cells were fixed at 0.5, 1, 2, and 18 hours post-irradiation, permeabilized and IRIF were immunostained using appropriate antibodies. Cell images were acquired with the automatic Metafer system. Radiation-induced γH2AX and 53BP1 foci were enumerated using either manual counting (JCountPro program) or the Metafer software (after its classifier optimization has been done) and compared. The statistical analysis was performed using One-way ANOVA. Results: The enumeration of 53BP1, γH2AX foci manually by JCountPro did not statistically significantly differ from the automatic one performed with the optimized Metafer classifier. A detailed step-by-step protocol of this successful optimization is described in this study. Conclusions: We concluded that the Metafer software after the optimization was efficient in objectively enumerating IRIF, having a potential for usage in clinics and molecular epidemiology.
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Lewis, Joshua, Conrad Shebelut, Bradley Drumheller, Xuebao Zhang, Nithya Shanmugam, Michel Attieh, Michael Horwath, Anurag Khanna, Geoffrey Smith, and David Gutman. "An Automated Pipeline for Cell Differentials on Whole-Slide Bone Marrow Aspirate Smears." American Journal of Clinical Pathology 158, Supplement_1 (November 1, 2022): S12. http://dx.doi.org/10.1093/ajcp/aqac126.020.

Повний текст джерела
Анотація:
Abstract Current pathologic diagnosis of benign and neoplastic bone marrow disorders relies in part on the microscopic analysis of bone marrow aspirate (BMA) smears and manual counting of nucleated cell populations to obtain a cell differential. This manual process has significant limitations, including the limited sample of cells analyzed by a conventional 500-cell differential compared to the thousands of nucleated cells present, as well as the inter-observer variability seen between differentials on single samples due to differences in cell selection and classification. To address these shortcomings, we developed an automated computational platform for obtaining cell differentials from scanned whole-slide BMAs at 40x magnification. This pipeline utilizes a sequential process of identifying BMA regions with high proportions of marrow nucleated cells that are ideal for cell counting, detecting individual cells within these optimal regions, and classifying cells into one of 11 types within the differential. Training of convolutional neural network models for region and cell classification, as well as a region-based convolutional neural network for cell detection, involved the generation of an annotated training data set containing 10,948 BMA regions, 28,914 cell boundaries, and 23,609 cell classifications from 73 BMA slides. Among 44 testing BMA slides, an average of 19,209 viable cells per slide were identified and used in automated cell differentials, with a range of 237 to 126,483 cells. In comparing these automated cell differential percentages with corresponding manual differentials, cell type-specific correlation coefficients ranged from 0.913 for blast cells to 0.365 for myelocytes, with an average coefficient of 0.654 among all 11 cell types. A statistically significant concordance was observed among slides with blast percentages less or greater than 20% (p=1.0x10-5) and with plasma cell percentages less or greater than 10% (p=5.9x10-6) between automated and manual differentials, suggesting potential diagnostic utility of this automated pipeline for malignancies such as acute myeloid leukemia and multiple myeloma. Additionally, by simulating the manual counting of 500 cells within localized areas of a BMA slide and iterating over all optimal slide locations, we quantified the inter-observer variability associated with limited sample size in traditional BMA cell counting. Localized differentials exemplify an average variance ranging from 24.1% for erythroid precursors to 1.8% for basophils. Variance in localized differentials of up to 44.8% for blast cells and 36.9% for plasma cells was observed, demonstrating that sample classification based on diagnostic thresholds of cell populations is variable even between different areas within a single slide. Finally, pipeline outputs of region classification, cell detection, cell classification, and localized cell differentials can be visualized using whole-slide image analysis software. By improving cell sampling and reducing inter-observer variability, this automated pipeline has potential to improve the current standard of practice for utilizing BMA smears in the diagnosis of hematologic disorders.
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Scholz, Gregor, Shinta Mariana, Iqbal Syamsu, Agus Budi Dharmawan, Torben Schulze, Kai Mattern, Philipp Hörmann, et al. "Continuous Live-Cell Culture Monitoring by Compact Lensless LED Microscopes." Proceedings 2, no. 13 (December 5, 2018): 877. http://dx.doi.org/10.3390/proceedings2130877.

Повний текст джерела
Анотація:
A compact lensless microscope comprising a custom-made LED engine and a CMOS imaging sensor has been developed for live-cell culture imaging inside a cell incubator environment. The imaging technique is based on digital inline-holographic microscopy, while the image reconstruction is carried out by angular spectrum approach with a custom written software. The system was tested with various biological samples including immortalized mouse astrocyte cells inside a petri dish. Besides the imaging possibility, the capability of automated cell counting and tracking could be demonstrated. By using image sensors capable of video frame rate, time series of cell movement can be captured.
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Francisco, Jairo Silva, Heleno Pinto de Moraes, and Eliane Pedra Dias. "Evaluation of the Image-Pro Plus 4.5 software for automatic counting of labeled nuclei by PCNA immunohistochemistry." Brazilian Oral Research 18, no. 2 (June 2004): 100–104. http://dx.doi.org/10.1590/s1806-83242004000200002.

Повний текст джерела
Анотація:
The objective of this study was to create and evaluate a routine (macro) using Image-Pro Plus 4.5 software (Media Cybernetics, Silver Spring, USA) for automatic counting of labeled nuclei by proliferating cell nuclear antigen (PCNA) immunohistochemistry. A total of 154 digital color images were obtained from eleven sections of reticular oral lichen planus stained by PCNA immunohistochemistry. Mean density (gray-level), red density, green density, blue density, area, minor axis, perimeter rate and roundness were parameters used for PCNA labeled nuclei discrimination, followed by their outlined presentation and counting in each image by the macro. Mean density and area thresholds were automatically defined based, respectively, on mean density and mean area of PCNA labeled nuclei in the assessed image. The reference method consisted in visual counting of manually outlined labeled nuclei. Statistical analysis of macro results versus reference countings showed a very significant correlation (r s = 0.964, p < 0.001) for general results and a high level (89.8 ± 3.8%) of correctly counted labeled nuclei. We conclude that the main parameters associated with a high correlation between macro and reference results were mean density (gray-level) and area thresholds based on image profiles; and that Image-Pro Plus 4.5 using a routine with automatic definition of mean density and area thresholds can be considered a valid alternative to visual counting of PCNA labeled nuclei.
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Ziebig, Reinhard, Andreas Lun, and Pranav Sinha. "Leukocyte Counts in Cerebrospinal Fluid with the Automated Hematology Analyzer CellDyn 3500 and the Urine Flow Cytometer UF-100." Clinical Chemistry 46, no. 2 (February 1, 2000): 242–47. http://dx.doi.org/10.1093/clinchem/46.2.242.

Повний текст джерела
Анотація:
Abstract Background: The counting of leukocytes and erythrocytes in cerebrospinal fluid (CSF) is still performed microscopically, e.g., using a chamber in most laboratories. This requires sufficient practical experience, is time-consuming, and may constitute a problem in emergency diagnostics. Specific automated systems for CSF cell counting are not available at present. Methods: We tested the hematology analyzer CellDyn 3500 (CD) and the urine flow cytometer UF-100 (UF), which are not designed for CSF analysis. We studied &gt;104 samples with both analyzers, and the counts obtained were compared with the reference method (Fuchs-Rosenthal chamber). Results: Good linearity in the medically relevant range of 15 × 106 to 1000 × 106 leukocytes/L and a high degree of within-run accuracy were seen for both analyzers. Cell counting on the UF was excellent, especially when low cell counts were encountered (CV, 4.9% compared with 28% observed for the CD). Method comparison showed that identical results could be detected for a majority of the count pairs. For a few samples, there was a discrepancy between the results from the analyzers and the counting chamber. In most cases, these were CSF samples containing a high proportion of lymphocytes. For these samples, the CD result led to a false-positive high leukocyte count, and on the UF these cells were not allocated to the leukocyte population, thus leading to false-negative counts. Conclusions: Both analyzers should not be used for CSF cell counting in all cases at present. However, once the technical and software problems have been solved, routine use of the two analyzers for CSF analysis should be seriously contemplated.
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Primrose, John N., Siân A. Pugh, Gareth Thomas, Matthew Ellis, Karwan Moutasim, and David Mant. "Intratumoural immune signature to identify patients with primary colorectal cancer who do not require follow-up after resection: an observational study." Health Technology Assessment 25, no. 2 (January 2021): 1–32. http://dx.doi.org/10.3310/hta25020.

Повний текст джерела
Анотація:
Background Following surgical and adjuvant treatment of primary colorectal cancer, many patients are routinely followed up with axial imaging (most commonly computerised tomography imaging) and blood carcinoembryonic antigen (a tumour marker) testing. Because fewer than one-fifth of patients will relapse, a large number of patients are followed up unnecessarily. Objectives To determine whether or not the intratumoural immune signature could identify a cohort of patients with a relapse rate so low that follow-up is unnecessary. Design An observational study based on a secondary tissue collection of the tumours from participants in the FACS (Follow-up After Colorectal Cancer Surgery) trial. Setting and participants Formalin-fixed paraffin-embedded tumour tissue was obtained from 550 out of 1202 participants in the FACS trial. Tissue microarrays were constructed and stained for cluster of differentiation (CD)3+ and CD45RO+ T lymphocytes as well as standard haematoxylin and eosin staining, with a view to manual and, subsequently, automated cell counting. Results The tissue microarrays were satisfactorily stained for the two immune markers. Manual cell counting proved possible on the arrays, but manually counting the number of cores for the entire study was found to not be feasible; therefore, an attempt was made to use automatic cell counting. Although it is clear that this approach is workable, there were both hardware and software problems; therefore, reliable data could not be obtained within the time frame of the study. Limitations The main limitations were the inability to use machine counting because of problems with both hardware and software, and the loss of critical scientific staff. Findings from this research indicate that this approach will be able to count intratumoural immune cells in the long term, but whether or not the original aim of the project proved possible is not known. Conclusions The project was not successful in its aim because of the failure to achieve a reliable counting system. Future work Further work is needed to perfect immune cell machine counting and then complete the objectives of this study that are still relevant. Trial registration Current Controlled Trials ISRCTN41458548. Funding This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 2. See the NIHR Journals Library website for further project information.
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Primrose, John N., Siân A. Pugh, Gareth Thomas, Matthew Ellis, Karwan Moutasim, and David Mant. "Intratumoural immune signature to identify patients with primary colorectal cancer who do not require follow-up after resection: an observational study." Health Technology Assessment 25, no. 2 (January 2021): 1–32. http://dx.doi.org/10.3310/hta25020.

Повний текст джерела
Анотація:
Background Following surgical and adjuvant treatment of primary colorectal cancer, many patients are routinely followed up with axial imaging (most commonly computerised tomography imaging) and blood carcinoembryonic antigen (a tumour marker) testing. Because fewer than one-fifth of patients will relapse, a large number of patients are followed up unnecessarily. Objectives To determine whether or not the intratumoural immune signature could identify a cohort of patients with a relapse rate so low that follow-up is unnecessary. Design An observational study based on a secondary tissue collection of the tumours from participants in the FACS (Follow-up After Colorectal Cancer Surgery) trial. Setting and participants Formalin-fixed paraffin-embedded tumour tissue was obtained from 550 out of 1202 participants in the FACS trial. Tissue microarrays were constructed and stained for cluster of differentiation (CD)3+ and CD45RO+ T lymphocytes as well as standard haematoxylin and eosin staining, with a view to manual and, subsequently, automated cell counting. Results The tissue microarrays were satisfactorily stained for the two immune markers. Manual cell counting proved possible on the arrays, but manually counting the number of cores for the entire study was found to not be feasible; therefore, an attempt was made to use automatic cell counting. Although it is clear that this approach is workable, there were both hardware and software problems; therefore, reliable data could not be obtained within the time frame of the study. Limitations The main limitations were the inability to use machine counting because of problems with both hardware and software, and the loss of critical scientific staff. Findings from this research indicate that this approach will be able to count intratumoural immune cells in the long term, but whether or not the original aim of the project proved possible is not known. Conclusions The project was not successful in its aim because of the failure to achieve a reliable counting system. Future work Further work is needed to perfect immune cell machine counting and then complete the objectives of this study that are still relevant. Trial registration Current Controlled Trials ISRCTN41458548. Funding This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 2. See the NIHR Journals Library website for further project information.
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Dzulkifli, Fahmi Akmal, Mohd Yusoff Mashor, and Hasnan Jaafar. "A Computer-Aided Diagnosis (CAD) System for Automatic Counting of Ki67 Cells in Meningioma." International Journal of Software Engineering and Computer Systems 8, no. 2 (July 1, 2022): 10–24. http://dx.doi.org/10.15282/ijsecs.8.2.2022.2.0099.

Повний текст джерела
Анотація:
Meningioma is a type of primary brain tumour where this tumour arises in the three thin layers of tissues, called meninges. Tumour grading is usually used to describe tumour cells' characteristics and behaviours and how they look under a microscope. There were many techniques used for determining the grade of the tumour. Ki67 was the most common proliferation marker used to measure cell proliferation activity. Currently, pathologists used the manual counting technique to count the Ki67 cells before determining tumour grading. However, this technique was time-consuming, tiring and the counting results are often not accurate. Besides that, manual counting has poor reproducibility and discordant between counting values’ among the pathologist. Therefore, this study aimed to develop a Computer-Aided Design (CAD) software that automatically counts the Ki67 cells for determining tumour grading. The purpose of developing this software is to alleviate pathologists’ workload associated with counting Ki67 cells and scoring the Ki67 index. The CAD software was developed through seven stages. Based on Pearson Correlation Coefficient results, there was a good positive correlation between the proposed technique with the manual counting technique in counting positive and negative Ki67 cells with a correlation of 0.99 and 0.72 respectively. The proposed CAD system also showed promising results in computing the Ki67 labeling index with a low percentage absolute error of 1.85%.
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Pernthaler, Jakob, Annelie Pernthaler, and Rudolf Amann. "Automated Enumeration of Groups of Marine Picoplankton after Fluorescence In Situ Hybridization." Applied and Environmental Microbiology 69, no. 5 (May 2003): 2631–37. http://dx.doi.org/10.1128/aem.69.5.2631-2637.2003.

Повний текст джерела
Анотація:
ABSTRACT We describe here an automated system for the counting of multiple samples of double-stained microbial cells on sections of membrane filters. The application integrates an epifluorescence microscope equipped with motorized z-axis drive, shutters, and filter wheels with a scanning stage, a digital camera, and image analysis software. The relative abundances of specific microbial taxa are quantified in samples of marine picoplankton, as detected by fluorescence in situ hybridization (FISH) and catalyzed reporter deposition. Pairs of microscopic images are automatically acquired from numerous positions at two wavelengths, and microbial cells with both general DNA and FISH staining are counted after object edge detection and signal-to-background ratio thresholding. Microscopic fields that are inappropriate for cell counting are automatically excluded prior to measurements. Two nested walk paths guide the device across a series of triangular preparations until a user-defined number of total cells has been analyzed per sample. A backup autofocusing routine at incident light allows automated refocusing between individual samples and can reestablish the focal plane after fatal focusing errors at epifluorescence illumination. The system was calibrated to produce relative abundances of FISH-stained cells in North Sea samples that were comparable to results obtained by manual evaluation. Up to 28 preparations could be analyzed within 4 h without operator interference. The device was subsequently applied for the counting of different microbial populations in incubation series of North Sea waters. Automated digital microscopy greatly facilitates the processing of numerous FISH-stained samples and might thus open new perspectives for bacterioplankton population ecology.
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Дисертації з теми "Automated cell counting software"

1

D'Souza, Aswin Cletus. "Automated counting of cell bodies using Nissl stained cross-sectional images." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2035.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Khorshidi, Mohammad Ali. "Live Single Cell Imaging and Analysis Using Microfluidic Devices." Doctoral thesis, KTH, Proteomik och nanobioteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-129278.

Повний текст джерела
Анотація:
Today many cell biological techniques study large cell populations where an average estimate of individual cells’ behavior is observed. On the other hand, single cell analysis is required for studying functional heterogeneities between cells within populations. This thesis presents work that combines the use of microfluidic devices, optical microscopy and automated image analysis to design various cell biological assays with single cell resolution including cell proliferation, clonal expansion, cell migration, cell-cell interaction and cell viability tracking. In fact, automated high throughput single cell techniques enable new studies in cell biology which are not possible with conventional techniques. In order to automatically track dynamic behavior of single cells, we developed a microwell based device as well as a droplet microfluidic platform. These high throughput microfluidic assays allow automated time-lapse imaging of encapsulated single cells in micro droplets or confined cells inside microwells. Algorithms for automatic quantification of cells in individual microwells and micro droplets are developed and used for the analysis of cell viability and clonal expansion. The automatic counting protocols include several image analysis steps, e.g. segmentation, feature extraction and classification. The automatic quantification results were evaluated by comparing with manual counting and revealed a high success rate. In combination these automatic cell counting protocols and our microfluidic platforms can provide statistical information to better understand behavior of cells at the individual level under various conditions or treatments in vitro exemplified by the analysis of function and regulation of immune cells. Thus, together these tools can be used for developing new cellular imaging assays with resolution at the single cell level. To automatically characterize transient migration behavior of natural killer (NK) cells compartmentalized in microwells, we developed a method for single cell tracking. Time-lapse imaging showed that the NK cells often exhibited periods of high motility, interrupted with periods of slow migration or complete arrest. These transient migration arrest periods (TMAPs) often overlapped with periods of conjugations between NK cells and target cells. Such conjugation periods sometimes led to cell-mediated killing of target cells. Analysis of cytotoxic response of NK cells revealed that a small sub-class of NK cells called serial killers was able to kill several target cells. In order to determine a starting time point for cell-cell interaction, a novel technique based on ultrasound was developed to aggregate NK and target cells into the center of the microwells. Therefore, these assays can be used to automatically and rapidly assess functional and migration behavior of cells to detect differences between health and disease or the influence of drugs. The work presented in this thesis gives good examples of how microfluidic devices combined with automated imaging and image analysis can be helpful to address cell biological questions where single cell resolution is necessary.

QC 20130927

Стилі APA, Harvard, Vancouver, ISO та ін.
3

Ramraj, Varun. "Exploiting whole-PDB analysis in novel bioinformatics applications." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:6c59c813-2a4c-440c-940b-d334c02dd075.

Повний текст джерела
Анотація:
The Protein Data Bank (PDB) is the definitive electronic repository for experimentally-derived protein structures, composed mainly of those determined by X-ray crystallography. Approximately 200 new structures are added weekly to the PDB, and at the time of writing, it contains approximately 97,000 structures. This represents an expanding wealth of high-quality information but there seem to be few bioinformatics tools that consider and analyse these data as an ensemble. This thesis explores the development of three efficient, fast algorithms and software implementations to study protein structure using the entire PDB. The first project is a crystal-form matching tool that takes a unit cell and quickly (< 1 second) retrieves the most related matches from the PDB. The unit cell matches are combined with sequence alignments using a novel Family Clustering Algorithm to display the results in a user-friendly way. The software tool, Nearest-cell, has been incorporated into the X-ray data collection pipeline at the Diamond Light Source, and is also available as a public web service. The bulk of the thesis is devoted to the study and prediction of protein disorder. Initially, trying to update and extend an existing predictor, RONN, the limitations of the method were exposed and a novel predictor (called MoreRONN) was developed that incorporates a novel sequence-based clustering approach to disorder data inferred from the PDB and DisProt. MoreRONN is now clearly the best-in-class disorder predictor and will soon be offered as a public web service. The third project explores the development of a clustering algorithm for protein structural fragments that can work on the scale of the whole PDB. While protein structures have long been clustered into loose families, there has to date been no comprehensive analytical clustering of short (~6 residue) fragments. A novel fragment clustering tool was built that is now leading to a public database of fragment families and representative structural fragments that should prove extremely helpful for both basic understanding and experimentation. Together, these three projects exemplify how cutting-edge computational approaches applied to extensive protein structure libraries can provide user-friendly tools that address critical everyday issues for structural biologists.
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Guymer, Chelsea Suzanne. "Bioenergetic neuroprotection in experimental glaucoma." Thesis, 2020. http://hdl.handle.net/2440/129536.

Повний текст джерела
Анотація:
Glaucoma refers to a group of ocular conditions united by a clinically characteristic intraocular pressure optic neuropathy and associated degeneration of the retinal ganglion cells (RGCs). It is a leading cause of blindness worldwide. Although the pathogenesis of the most common variant, primary open-angle glaucoma, remains poorly understood, there is considerable evidence that energy insufficiency plays a pathogenic role. Currently, the only proven strategy to treat glaucoma is intraocular pressure (IOP) reduction by medical, laser or surgical modalities. Whilst these IOP lowering therapies have been proven to retard glaucomatous progression, there is inter-individual responsiveness and a significant proportion of individuals progress to visual impairment. Additional neuroprotective strategies that augment IOP-lowering therapy would be highly clinically desirable and likely to reduce the burden of glaucomatous visual impairment at the individual and society levels. This thesis investigates bioenergetic neuroprotection in experimental glaucoma and specifically the effects of pyruvate supplementation in facilitating neuroprotection or recovery of compromised, but not dead, RGCs. The thesis consists of two related but independent sections. The first section describes a novel automated cell counting program, conceived to facilitate highly accurate automated counts of immunolabelled RGCs on retinal wholemounts. Quantifying RGCs on retinal wholemounts remains one of the key histopathological end points in pre-clinical glaucoma neuroprotection studies, yet manual or semi-automated methods are labour intensive, monotonous, time consuming and subject to inter and intra-observer variability. Limited software is available to expedite counting of immunolabelled RGCs on wholemounts. Their use is restricted due to cost constraints with purchasing licences for commercially available software, limited applicability to a variety of RGC / neuronal specific immunolabels, inability to distinguish cells in cluster, and heavy manual image pre-processing steps. We have overcome these barriers with our innovative software and validated its use against a variety of RGC specific immunolabels (Brn3a and RBPMS). Our results demonstrate excellent accuracy and a 40-fold reduction in time compared to manual counting. Ultimately this software promises to expedite data acquisition and statistical analysis in pre-clinical glaucoma neuroprotection research, potentially accelerating translation to clinical trials. The second section demonstrates the highly significant neuroprotective effects of oral pyruvate supplementation in our experimental rat model of glaucoma. Experimental glaucoma was induced unilaterally by laser photocoagulation of the trabecular meshwork and episcleral veins, in control and pyruvate-supplemented rats. At two weeks, the retina and optic nerves were processed for quantification of the number of surviving RGCs and axonal injury, respectively. The combined results clearly demonstrate RGC preservation, decreased axonal loss and degeneration, and attenuated microglial proliferation and phagocytic activity in the retinal nerve fibre layer and optic nerves of pyruvate-supplemented glaucomatous rats. Retinal cell cultures demonstrated that the presence of pyruvate counteracted the loss of both glia and neurons when subjected to either glucose deprivation or oxidative stress, suggesting that pyruvate supplementation has multimodal mechanisms of neuroprotection. These results unveil a potential new therapy for glaucoma with promise of translation into clinical trials.
Thesis (MPhil) -- University of Adelaide, Adelaide Medical School, 2020
Стилі APA, Harvard, Vancouver, ISO та ін.

Книги з теми "Automated cell counting software"

1

McCann, Shaun R. The role of technology in haematology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198717607.003.0011.

Повний текст джерела
Анотація:
Various technologies have changed and improved the practice of haematology. Because it is possible to obtain blood cells so readily (via a simple venepuncture), haematology has been at the forefront of technological developments in medicine. The diagnosis of both malignant and benign haematological disorders has become more exact because of the technological advances outlined, and the understanding of the pathogenesis of many diseases has been advanced as a direct result of the application of technologies such as immunofluorescence, confocal and electron microscopy, automated cell counting, flow cytometry, digital cell morphology, advanced staining techniques, and PCR. However, it is important to stress that all technologies and ‘tests’ need to be cautiously interpreted, and a full history and physical examination should always be the first step in the investigation of patients.
Стилі APA, Harvard, Vancouver, ISO та ін.

Частини книг з теми "Automated cell counting software"

1

Štěpka, Karel. "Automated Cell Counting in Bürker Chamber." In Image Analysis, 236–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38886-6_23.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Brinkmann, Marlies, Dirk Lütkemeyer, Frank Gudermann, and Jürgen Lehmann. "New Technologies for Automated Cell Counting Based on Optical Image Analysis “The Cellscreen”." In Animal Cell Technology: From Target to Market, 269–73. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0369-8_64.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Choi, Jae Sung, Moon Jong Choi, Jung-Min Lee, and Hyun Lee. "A New Automated Cell Counting Program by Using Hough Transform-Based Double Edge." In Advances in Computer Science and Ubiquitous Computing, 712–16. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_109.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Hoai An, Le Thi, Le Minh Tam, and Nguyen Thi Bich Thuy. "A Novel Approach to Automated Cell Counting Based on a Difference of Convex Functions Algorithm (DCA)." In Computational Collective Intelligence. Technologies and Applications, 336–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40495-5_34.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Huang, Luojie, Gregory N. McKay, and Nicholas J. Durr. "A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 415–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87237-3_40.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Chatterjee, Joydeep, Semanti Chakraborty, and Kanik Palodhi. "A Novel Automated Blood Cell Counting Method Based on Deconvolution and Convolution and Its Application to Neural Networks." In Advances in Intelligent Systems and Computing, 67–78. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2930-6_6.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Resch, Guenter P. "Software for automated acquisition of electron tomography tilt series." In Methods in Cell Biology, 135–78. Elsevier, 2019. http://dx.doi.org/10.1016/bs.mcb.2019.05.002.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Buckner, Eli, Imani Madison, Charles Melvin, Terri Long, Rosangela Sozzani, and Cranos Williams. "BioVision Tracker: A semi-automated image analysis software for spatiotemporal gene expression tracking in Arabidopsis thaliana." In Methods in Cell Biology, 419–36. Elsevier, 2020. http://dx.doi.org/10.1016/bs.mcb.2020.04.017.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Kumar Gupta, Ashish, and Shashi Bhushan Kumar. "Reticulocytes-Mother of Erythrocytes." In The Erythrocyte - A Unique Cell [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.107125.

Повний текст джерела
Анотація:
Reticulocytes are immature red blood cells (RBCs) that is seen in the bone marrow after through nuclear extrusion from the orthochromatic normoblasts. They are released into the peripheral blood as mature RBCs, after completion of maturation in the bone marrow. The reticulocyte count reflects the erythropoietic activity of the bone marrow, the rate of reticulocyte delivery from the bone marrow into the peripheral blood, and the rate of reticulocyte maturation. Reticulocyte enumeration is also of value in monitoring bone marrow regenerative activity after chemotherapy or bone marrow transplantation. Manual counting of reticulocytes by light microscopy with supravital dyes for RNA remains the standard method of reticulocyte enumeration. However, automated methods of reticulocyte enumeration developed during the past decade are much more accurate, precise, and cost-effective than manual counting, and are increasingly being performed in the clinical laboratory. The differentiation of the reticulocyte is based on the presence of RNA. The newer techniques provide a variety of reticulocyte related parameters, such as the reticulocyte maturation index and immature reticulocyte fraction, which are not available with light microscopy. These new parameters are under evaluation in the clinical diagnosis and monitoring of hematological disorders.
Стилі APA, Harvard, Vancouver, ISO та ін.
10

van der Voort, M., and H. Hogeveen. "Developments in automated systems for monitoring livestock health: mastitis." In Advances in precision livestock farming, 225–46. Burleigh Dodds Science Publishing, 2022. http://dx.doi.org/10.19103/as.2021.0090.09.

Повний текст джерела
Анотація:
Dairy farmers need on-site, real-time information regarding mastitis occurrence in order to implement appropriate management actions. Technological progress has enabled the use of sensor systems as the basis for mastitis management. In this chapter, we describe the current state of automated mastitis detection systems in dairy cattle and potential new developments in mastitis detection. Most developed detection systems are focused on clinical mastitis, with systems utilizing electrical conductivity, on-line California mastitis tests, L-lactate dehydrogenase and on-line somatic cell counting being commercially available. The results of these systems are sufficient for practical use but not ideal. In the search for improved automatic mastitis detection, research is focused on: 1) improving existing and developing new sensors, 2) improving existing algorithms and combining more data sources within the analysis, and 3) defining specific mastitis situations for custom-made management measures.
Стилі APA, Harvard, Vancouver, ISO та ін.

Тези доповідей конференцій з теми "Automated cell counting software"

1

Harun, Nor Hazlyna, Nur Azzah Abu Bakar, Uvaghesvary AP Mohan, Maslinda Mohd Nadzir, Mohamad Ghozali Hassan, and Robiyanti Adollah. "Automated Cell Counting System For Chronic Leukemia." In 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). IEEE, 2019. http://dx.doi.org/10.1109/jeeit.2019.8717500.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Tyagi, Arti, Neha Khaware, Bramha Tripathi, Tushar Jeet, Prabhu Balasubramanian, and Ravikrishnan Elangovan. "Automated miniscope for fluorescent cell counting applications." In Optics and Biophotonics in Low-Resource Settings VIII, edited by David Levitz and Aydogan Ozcan. SPIE, 2022. http://dx.doi.org/10.1117/12.2608483.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Mason, J. A., W. Hage, R. Price, A. C. Tolchard, and A. C. N. Towner. "An Automated Non-Destructive Assay System for the Measurement and Characterization of Radioactive Waste." In ASME 2003 9th International Conference on Radioactive Waste Management and Environmental Remediation. ASMEDC, 2003. http://dx.doi.org/10.1115/icem2003-4654.

Повний текст джерела
Анотація:
The paper describes an automated non-destructive assay (NDA) system for the measurement and characterization of radioactive waste. The Waste Characterisation System (WCS) can be adapted to measure a variety of drum sizes: 60, 220 (55 gallon) and 440 liter, the latter with a maximum weight of 1500 kg (1.5 tonnes). The NDA system includes a Tomographic Segmented Gamma Scanner (TSGS) and an active/passive neutron Differential Die-away (DDA or DDT). The system can assay a wide variety of waste types in a range of waste matrices. The assay stations are linked by a heavy duty roller conveyor which incorporates a 20 drum buffer store, a load cell (built into the conveyor), bar code readers and a dose rate measurement station. The Tomographic Segmented Gamma Scanner (TSGS) combines conventional high resolution gamma spectrometry and a tranission source to interrogate a waste drum in vertical slices (segments) as for Segmented Gamma Scanner (SGS) measurements. However, in the case of the TSGS, while the drum is rotated, it is also moved in the horizontal direction leading to an enhanced ability to correct the gamma ray energies, from the nuclides of interest, for the attenuation of the matrix. The TSGS can also be operated as a conventional SGS for the measurement of homogeneous waste drums. The DDA is a very sensitive active neutron interrogation method that uses thermalised neutrons from a pulsed source within the chamber to irradiate a waste drum. Prompt neutrons from fissile material present in the waste (e. g. 239Pu, 235U) are detected and provide a measure of the fissile content in the drum. In passive mode, the DDA determines the even Pu nuclides exhibiting significant spontaneous fission (e.g. 240Pu). Measurement accuracy depends on correction algorithms to compensate for self-shielding and matrix effects in waste drums containing hydrogenous materials. In addition, the DDA will be provided with the Fission-Fission Neutron Correlation Analysis System (FFnC) which is an absolute technique eliminating the need for matrix dependent mass calibrations, and allowing separate U and Pu determination using delayed neutron counting. The FFnC technique will be tested for the first time on the WCS. The NDA system incorporates integrated stations to determine the weight and dose rate of each drum, the former built into the conveyor the latter as part of the TSGS. Six Geiger Muller tubes measure the surface dose at three positions on the drum side, one at 1 metre from the drum and one each measuring the surface dose of the top and bottom of the drum. The assay instruments are linked to a heavy duty conveyor system onto which up to 20 waste drums can be loaded for delivery to the various measurement stations, thus permitting unattended, automated operation. Once measured, the drums remain on the conveyer in a holding system waiting to be unloaded. Automation is provided using a programmable logic controller (PLC) and associated computers. A central computer and associated software is used for data acquisition and management.
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Toh, Y. H., T. M. Ng, and B. K. Liew. "Automated Fish Counting Using Image Processing." In 2009 International Conference on Computational Intelligence and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cise.2009.5365104.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Khabiry, Masoud, Nader Jalili, and Srinivas Sridhar. "Automated cell counting method for microgroove based microfluidic device." In 2014 40th Annual Northeast Bioengineering Conference (NEBEC). IEEE, 2014. http://dx.doi.org/10.1109/nebec.2014.6972835.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Al-Kofahi, Yousef, Dirk Padfield, and Antti Seppo. "An automated algorithm for cell-level FISH dot counting." In SPIE Medical Imaging, edited by Sebastien Ourselin and David R. Haynor. SPIE, 2013. http://dx.doi.org/10.1117/12.2006546.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

You, Zhenzhen, Michel E. Vandenberghe, Yael Balbastre, Nicolas Souedet, Philippe Hantraye, Caroline Jan, Anne-Sophie Herard, and Thierry Delzescaux. "Automated cell individualization and counting in cerebral microscopic images." In 2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. http://dx.doi.org/10.1109/icip.2016.7532988.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Zhang, Kelly, TaiYu Gao, Xiaoyi Feng, Yinglei Mei, and Jiayuan Li. "Automatic cells counting method based on machine learning and deep learning." In International Conference on Computer Network Security and Software Engineering (CNSSE 2022), edited by Wenshun Sheng and Yongquan Yan. SPIE, 2022. http://dx.doi.org/10.1117/12.2641105.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Theera-Umpon, Nipon, and Paul D. Gader. "Automated white blood cell counting via classification-free granulometric methods." In Electronic Imaging '99, edited by Edward R. Dougherty and Jaakko T. Astola. SPIE, 1999. http://dx.doi.org/10.1117/12.341092.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Lozano, A. V. "Design of an Automated-Counting System of Cell Micronuclei in Micrographs." In MEDICAL PHYSICS: Eighth Mexican Symposium on Medical Physics. AIP, 2004. http://dx.doi.org/10.1063/1.1811831.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Звіти організацій з теми "Automated cell counting software"

1

Holcomb, Greg D. Design and Software Development of Automated Data Acquisition System for Load Cell Calibration. Fort Belvoir, VA: Defense Technical Information Center, July 1998. http://dx.doi.org/10.21236/ada370991.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Sadot, Einat, Christopher Staiger, and Zvi Kam Weizmann. functional genomic screen for new plant cytoskeletal proteins and the determination of their role in actin mediated functions and guard cells regulation. United States Department of Agriculture, January 2003. http://dx.doi.org/10.32747/2003.7587725.bard.

Повний текст джерела
Анотація:
The original objectives of the approved proposal were: 1. To construct a YFP fused Arabidopsis cDNA library in a mammalian expression vector. 2. To infect the library into a host fibroblast cell line and to screen for new cytoskeletal associated proteins using an automated microscope. 3. Isolate the new genes. 4. Characterize their role in plants. The project was approved as a feasibility study to allow proof of concept that would entail building the YFP library and picking up a couple of positive clones using the fluorescent screen. We report here on the construction of the YFP library, the development of the automatic microscope, the establishment of the screen and the isolation of positive clones that are plant cDNAs encoding cytoskeleton associated proteins. The rational underling a screen of plant library in fibroblasts is based on the high conservation of the cytoskeleton building blocks, actin and tubulin, between the two kingdoms (80-90% homology at the level of amino acids sequence). In addition, several publications demonstrated the recognition of mammalian cytoskeleton by plant cytoskeletal binding proteins and vice versa. The major achievements described here are: 1. The development of an automated microscope equipped with fast laser auto-focusing for high magnification and a software controlling 6 dimensions; X, Y position, auto focus, time, color, and the distribution and density of the fields acquired. This system is essential for the high throughput screen. 2. The construction of an extremely competent YFP library efficiently cloned (tens of thousands of clones collected, no empty vectors detected) with all inserts oriented 5't03'. These parameters render it well representative of the whole transcriptome and efficient in "in-frame" fusion to YFP. 3. The strategy developed for the screen allowing the isolation of individual positive cDNA clones following three rounds of microscopic scans. The major conclusion accomplished from the work described here is that the concept of using mammalian host cells for fishing new plant cytoskeletal proteins is feasible and that screening system developed is complete for addressing one of the major bottlenecks of the plant cytoskeleton field: the need for high throughput identification of functionally active cytoskeletal proteins. The new identified plant cytoskeletal proteins isolated in the pilot screen and additional new proteins which will be isolated in a comprehensive screen will shed light on cytoskeletal mediated processes playing a major role in cellular activities such as cell division, morphogenesis, and functioning such as chloroplast positioning, pollen tube and root hair elongation and the movement of guard cells. Therefore, in the long run the screen described here has clear agricultural implications.
Стилі APA, Harvard, Vancouver, ISO та ін.
Також вас можуть зацікавити розширені добірки на тему "Automated cell counting software" для конкретних типів джерел:
Статті в журналах
Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!

До бібліографії