Bibliografie tematiche / FLIMM method

Letteratura scientifica selezionata sul tema "FLIMM method"

Autore: Grafiati

Pubblicato: 6 luglio 2024

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Articoli di riviste sul tema "FLIMM method":

Zhang, Beini, Liping Li, Yetao Lyu, Shuguang Chen, Lin Xu e Guanhua Chen. "A New Instrument Monitoring Method Based on Few-Shot Learning". Applied Sciences 13, n. 8 (21 aprile 2023): 5185. http://dx.doi.org/10.3390/app13085185.

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As an important part of the industrialization process, fully automated instrument monitoring and identification are experiencing an increasingly wide range of applications in industrial production, autonomous driving, and medical experimentation. However, digital instruments usually have multi-digit features, meaning that the numeric information on the screen is usually a multi-digit number greater than 10. Therefore, the accuracy of recognition with traditional algorithms such as threshold segmentation and template matching is low, and thus instrument monitoring still relies heavily on human labor at present. However, manual monitoring is costly and not suitable for risky experimental environments such as those involving radiation and contamination. The development of deep neural networks has opened up new possibilities for fully automated instrument monitoring; however, neural networks generally require large training datasets, costly data collection, and annotation. To solve the above problems, this paper proposes a new instrument monitoring method based on few-shot learning (FLIMM). FLIMM improves the average accuracy (ACC) of the model to 99% with only 16 original images via effective data augmentation method. Meanwhile, due to the controllability of simulated image generation, FLIMM can automatically generate annotation information for simulated numbers, which greatly reduces the cost of data collection and annotation.

Wang, Quan, Yahui Li, Dong Xiao, Zhenya Zang, Zi’ao Jiao, Yu Chen e David Day Uei Li. "Simple and Robust Deep Learning Approach for Fast Fluorescence Lifetime Imaging". Sensors 22, n. 19 (26 settembre 2022): 7293. http://dx.doi.org/10.3390/s22197293.

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Fluorescence lifetime imaging (FLIM) is a powerful tool that provides unique quantitative information for biomedical research. In this study, we propose a multi-layer-perceptron-based mixer (MLP-Mixer) deep learning (DL) algorithm named FLIM-MLP-Mixer for fast and robust FLIM analysis. The FLIM-MLP-Mixer has a simple network architecture yet a powerful learning ability from data. Compared with the traditional fitting and previously reported DL methods, the FLIM-MLP-Mixer shows superior performance in terms of accuracy and calculation speed, which has been validated using both synthetic and experimental data. All results indicate that our proposed method is well suited for accurately estimating lifetime parameters from measured fluorescence histograms, and it has great potential in various real-time FLIM applications.

Needham, Sarah R., Laura C. Zanetti-Domingues, Kathrin M. Scherer, Michael Hirsch, Daniel J. Rolfe, Selene K. Roberts, Marisa L. Martin-Fernandez, David T. Clarke e Christopher J. Tynan. "Determining the geometry of oligomers of the human epidermal growth factor family on cells with <10 nm resolution". Biochemical Society Transactions 43, n. 3 (1 giugno 2015): 309–14. http://dx.doi.org/10.1042/bst20140318.

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There is a limited range of methods available to characterize macromolecular organization in cells on length scales from 5–50 nm. We review methods currently available and show the latest results from a new single-molecule localization-based method, fluorophore localization imaging with photobleaching (FLImP), using the epidermal growth factor (EGF) receptor (EGFR) as an example system. Our measurements show that FLImP is capable of achieving spatial resolution in the order of 6 nm.

Ji, Mingmei, Jiahui Zhong, Runzhe Xue, Wenhua Su, Yawei Kong, Yiyan Fei, Jiong Ma, Yulan Wang e Lan Mi. "Early Detection of Cervical Cancer by Fluorescence Lifetime Imaging Microscopy Combined with Unsupervised Machine Learning". International Journal of Molecular Sciences 23, n. 19 (29 settembre 2022): 11476. http://dx.doi.org/10.3390/ijms231911476.

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Cervical cancer has high morbidity and mortality rates, affecting hundreds of thousands of women worldwide and requiring more accurate screening for early intervention and follow-up treatment. Cytology is the current dominant clinical screening approach, and though it has been used for decades, it has unsatisfactory sensitivity and specificity. In this work, fluorescence lifetime imaging microscopy (FLIM) was used for the imaging of exfoliated cervical cells in which an endogenous coenzyme involved in metabolism, namely, reduced nicotinamide adenine dinucleotide (phosphate) [NAD(P)H], was detected to evaluate the metabolic status of cells. FLIM images from 71 participants were analyzed by the unsupervised machine learning method to build a prediction model for cervical cancer risk. The FLIM method combined with unsupervised machine learning (FLIM-ML) had a sensitivity and specificity of 90.9% and 100%, respectively, significantly higher than those of the cytology approach. One cancer recurrence case was predicted as high-risk several months earlier using this method as compared to using current clinical methods, implying that FLIM-ML may be very helpful for follow-up cancer care. This study illustrates the clinical applicability of FLIM-ML as a detection method for cervical cancer screening and a convenient tool for follow-up cancer care.

Pande, P., C. A. Trivedi e J. A. Jo. "Analysis of Fluorescence Lifetime Imaging Microscopy (FLIM) Data". Methods of Information in Medicine 49, n. 05 (2010): 531–36. http://dx.doi.org/10.3414/me09-02-0046.

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Summary Objectives: A novel Fluorescence Lifetime Imaging Microscopy (FLIM) deconvolution method based on the linear expansion of fluorescence decays on a set of orthonormal Laguerre functions was recently proposed. The Laguerre deconvolution method applies linear least-square estimation to estimate the expansion coefficients of all pixel decays simultaneously, performing at least two orders of magnitude faster than the other algorithms. In the original Laguerre FLIM deconvolution implementation, however, the Laguerre parameter α is selected using a heuristic approach, making it unsuitable for online applications. Methods: In this study, we present a fully automated implementation of the Laguerre FLIM deconvolution, whereby the Laguerre parameter α is treated as a free parameter within a nonlinear least-squares optimization scheme. Results: The performance of this method has been successfully validated on simulated data, and experimental FLIM images of standard fluorescent dyes and endogenous tissue fluorescence. Conclusions: The main advantage of the proposed method is that it does not require any user intervention for tuning up the deconvolution process. Thus, we believe this method will facilitate the translation of FLIM to online applications, including real-time clinical diagnosis.

Liu, Guoying, Pengwei Li e Yun Zhang. "A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model". Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/240354.

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This paper presents a variation of the fuzzy local information c-means clustering (FLICM) algorithm that provides color texture image clustering. The proposed algorithm incorporates region-level spatial, spectral, and structural information in a novel fuzzy way. The new algorithm, called RFLICM, combines FLICM and region-level Markov random field model (RMRF) together to make use of large scale interactions between image patches instead of pixels. RFLICM can overcome the weakness of FLICM when dealing with textured images and at the same time enhances the clustering performance. The major characteristic of RFLICM is the use of a region-level fuzzy factor, aiming to guarantee texture homogeneity and preserve region boundaries. Experiments performed on synthetic and remote sensing images show that RFLICM is effective in providing accuracy to color texture images.

XU, LINGLING, ZHONG-CHAO WEI, SHAOQUN ZENG e ZHEN-LI HUANG. "QUANTIFYING THE SHORT LIFETIME WITH TCSPC-FLIM: FIRST MOMENT VERSUS FITTING METHODS". Journal of Innovative Optical Health Sciences 06, n. 04 (ottobre 2013): 1350030. http://dx.doi.org/10.1142/s1793545813500302.

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Combing the time-correlated single photon counting (TCSPC) with fluorescence lifetime imaging microscopy (FLIM) provides promising opportunities in revealing important information on the microenvironment of cells and tissues, but the applications are thus far mainly limited by the accuracy and precision of the TCSPC-FLIM technique. Here we present a comprehensive investigation on the performance of two data analysis methods, the first moment (M1) method and the conventional least squares (Fitting) method, in quantifying fluorescence lifetime. We found that the M1 method is more superior than the Fitting method when the lifetime is short (70 ~ 400 ps) or the signal intensity is weak (<103 photons).

Ji, Chao, Xing Wang, Kai He, Yanhua Xue, Yahui Li, Liwei Xin, Wei Zhao, Jinshou Tian e Liang Sheng. "Compressed fluorescence lifetime imaging via combined TV-based and deep priors". PLOS ONE 17, n. 8 (12 agosto 2022): e0271441. http://dx.doi.org/10.1371/journal.pone.0271441.

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Compressed fluorescence lifetime imaging (Compressed-FLIM) is a novel Snapshot compressive imaging (SCI) method for single-shot widefield FLIM. This approach has the advantages of high temporal resolution and deep frame sequences, allowing for the analysis of FLIM signals that follow complex decay models. However, the precision of Compressed-FLIM is limited by reconstruction algorithms. To improve the reconstruction accuracy of Compressed-FLIM in dealing with large-scale FLIM problem, we developed a more effective combined prior model 3DTGp V_net, based on the Plug and Play (PnP) framework. Extensive numerical simulations indicate the proposed method eliminates reconstruction artifacts caused by the Deep denoiser networks. Moreover, it improves the reconstructed accuracy by around 4dB (peak signal-to-noise ratio; PSNR) over the state-of-the-art TV+FFDNet in test data sets. We conducted the single-shot FLIM experiment with different Rhodamine reagents and the results show that in practice, the proposed algorithm has promising reconstruction performance and more negligible lifetime bias.

Mikicin, Mirosław. "Relationships of attention and arousal are responsible for action in sports". Biomedical Human Kinetics 14, n. 1 (1 gennaio 2022): 229–35. http://dx.doi.org/10.2478/bhk-2022-0028.

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Abstract Study aim: The most important psychological mechanisms that are responsible for sports activity are arousal and attention. Study aim the relationships between the level of arousal and the level of attention, an attempt has been made to explain the mechanisms responsible for sportsman activity. Material and method: The study was conducted in a group of sportsman-students (68 individuals) using the Vienna Test System: FLIM, a test of flicker/fusion frequency, which is a measurement procedure allowing to determine the functional readiness of the central nervous system in terms of arousal and COG (Cognitron), which is a test measuring the level of attention. Results: The following in statistical analysis of the data were observed: inversely proportional relationships of image fusion frequency (FLIM1) during the recording of the level of arousal with: the correct acceptance of stimuli (COG1, r = –0.287), the correct rejection of stimuli (COG2, r = –0.320), the time of correctly accepted stimuli (COG3, r = –0.299), and with the time of correctly rejected stimuli (COG4, r = –0.317) in the attentional activity. Conclusion: Fusion frequency indicates the level of fatigue and is inversely proportional to the correctly accepted stimuli in attentional activity, the correctly rejected stimuli in attentional activities, and the duration of the attentional actions.

Adhikari, Mou, Rola Houhou, Julian Hniopek e Thomas Bocklitz. "Review of Fluorescence Lifetime Imaging Microscopy (FLIM) Data Analysis Using Machine Learning". Journal of Experimental and Theoretical Analyses 1, n. 1 (21 settembre 2023): 44–63. http://dx.doi.org/10.3390/jeta1010004.

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Fluorescence lifetime imaging microscopy (FLIM) has emerged as a promising tool for all scientific studies in recent years. However, the utilization of FLIM data requires complex data modeling techniques, such as curve-fitting procedures. These conventional curve-fitting procedures are not only computationally intensive but also time-consuming. To address this limitation, machine learning (ML), particularly deep learning (DL), can be employed. This review aims to focus on the ML and DL methods for FLIM data analysis. Subsequently, ML and DL strategies for evaluating FLIM data are discussed, consisting of preprocessing, data modeling, and inverse modeling. Additionally, the advantages of the reviewed methods are deliberated alongside future implications. Furthermore, several freely available software packages for analyzing the FLIM data are highlighted.

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Tesi sul tema "FLIMM method":

Mendoza, Lopez Duvan Alexander. "Étude des phénomènes de piégeage et dépiégeage de charges par mesures de charge d'espace et de décharge photo-stimulée dans des films polymères minces pour le stockage d'énergie". Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30364.

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Avec le développement du marché des condensateurs à base de films polymères, l'étude des phénomènes de génération, de transport et de piégeage de charges dans les diélectriques relativement minces connait un intérêt croissant. En effet, des exigences accrues imposées par des tensions d'alimentation ou des niveaux de température élevés, favorisent l'apparition de charges qui, lors de leur migration à travers le matériau, peuvent être piégées pour créer la charge d'espace. Cette dynamique de piégeage de charges expose une vulnérabilité, car elle provoque une intensification locale du champ électrique, susceptible de générer des contraintes électromécaniques pouvant potentiellement entraîner la défaillance du matériau. En conséquence, il s'avère impératif d'effectuer des études sur la nature et les propriétés des pièges dans les polymères. Cette démarche vise à enrichir notre compréhension de ces matériaux et à renforcer la fiabilité des systèmes dans lesquels ils sont incorporés. Parmi les approches expérimentales disponibles pour examiner le comportement électrique des polymères, celles qui permettent de dévoiler des informations spécifiques concernant l'état énergétique des pièges restent relativement limitées. Les plus utilisées sont probablement la méthode TSD (Thermally Stimulated Discharge) et PSD (Photo-Stimulated Discharge). La méthode PSD, qui consiste à mesurer le courant de décharge sous irradiation lumineuse dans le spectre UV-visible, permet d'identifier les interactions entre les charges mobiles ou piégées, avec l'énergie des photons irradiés. L'avantage par rapport à la méthode TSD, qui utilise une rampe de température, est de ne pas modifier ou détruire les pièges par effet thermique. Néanmoins, il convient de noter que l'interprétation des spectres PSD se révèle difficile, du fait que le courant mesuré peut résulter de divers phénomènes, par exemple la photogénération de charges ou la photoinjection de porteurs, tous étant susceptibles d'interagir avec les pièges présents. Pour essayer de dissocier les mécanismes inhérents au courant photoinduit, nous proposons de coupler les mesures PSD à des mesures de charges d'espace. Lorsque des protocoles sont mis en œuvre pour faire varier les paramètres de polarisation et d'irradiations PSD, les modifications dans la densité de charge ou de sa position apporteront des indices concernant l'origine des charges et la dynamique de leur piégeage et dépiégeage. Pour cela, nous envisageons d'adopter la méthode LIMM (Light Intensity Modulation Method), car elle est adaptée à l'étude de films minces (quelques µm), avec une bonne résolution spatiale près des interfaces. Elle sera aussi un atout pour étudier les effets de renforcement de champ électrique, liés à l'utilisation d'une électrode interdigitée pour la mesure PSD. L'intégration des méthodes LIMM et PSD au sein d'un même dispositif expérimental, ainsi que leur utilisation dans des programmes séquentielles de mesure, offre la possibilité de suivre de manière continue le remplissage des pièges, de stimuler sa libération par l'irradiation de lumière et d'explorer les relations entre l'énergie lumineuse appliquée et les caractéristiques des pièges. En effet, le système de mesure démontre dans une approche innovante que la réduction de la densité de charge d'espace après les mesures PSD est directement attribuée à la perturbation lumineuse elle-même, plutôt que d'être influencée par des facteurs concomitants tels que le temps écoulé après la période de charge ou les manipulations provoquant la libération de la charge
With the development of the polymer film capacitor market, there is growing interest in the study of charge generation, transport and trapping phenomena within relatively thin dielectric films. Indeed, increased requirements imposed by high supply voltages or elevated temperature conditions favor the appearance of charges which, as they migrate through the material, can be trapped to create space charge. This charge trapping dynamic is susceptible to causing localized intensifications of the electric field, thereby engendering electromechanical stresses that may ultimately culminate in material failure. Consequently, it is imperative to investigate the nature and properties of traps found in polymer dielectrics. The aim is to enrich our understanding of these materials and enhance the reliability of the systems in which they are incorporated. Among the available experimental approaches for investigating the electrical behavior of polymers, those capable of providing specific insights into the energy states of traps remain relatively scarce. The most prevalent methods in this regard are probably the Thermally Stimulated Discharge (TSD) and Photo-Stimulated Discharge (PSD) techniques. The PSD method, which entails measuring discharge currents during exposure to light within the UV-visible spectrum, offers the capability to identify interactions between mobile or trapped charges and the energy of incident photons. This approach possesses an advantage over the TSD method, which relies on a temperature ramp, as it does not induce alterations or destruction of traps through thermal effects. However, it is worth noting that interpreting PSD spectra poses challenges, as the measured current may originate from diverse phenomena, including photogeneration of charges or photoinjection of carriers, all of which are likely to interact with the existing traps. In an attempt to elucidate the underlying mechanisms governing in photoinduced current, we propose to couple PSD measurements to space charge measurements. By implementing protocols that systematically manipulate polarization and irradiation parameters, changes in the density or position of charges will serve as valuable indicators of the origin of charges and the kinetics of their trapping and detrapping processes. To achieve this objective, we intend to employ the Light Intensity Modulation Method (LIMM), which is particularly well-suited for the investigation of thin films (with dimensions on the order of a few micrometers) and offers excellent spatial resolution in proximity to interfaces. It will also be an asset for studying electric field reinforcement effects, linked to the use of an interdigitated electrode for PSD measurement. The integration of LIMM and PSD methods within the same experimental setup, and their use in sequential measurement programs, offers the possibility of continuously monitoring trap filling, trap release by light irradiation, and exploring the relationships between applied light energy and trap characteristics. In fact, the measurement system demonstrates in an innovative approach that the reduction in space charge density after PSD measurements is directly attributed to the light disturbance itself, rather than being influenced by concurrent factors such as the time elapsed after the charge period or manipulations leading to charge release

Hosny, Neveen Amera. "Development of a non-invasive method to detect pericellular spatial oxygen gradients using FLIM". Thesis, Queen Mary, University of London, 2011. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1262.

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Extracellular oxygen concentrations affect cellular metabolism and influence tissue function. Detection methods for these extracellular oxygen concentrations currently have poor spatial resolution and are frequently invasive. Fluorescence Lifetime Imaging Microscopy (FLIM) offers a non-invasive method for quantifying local oxygen concentrations. However, existing FLIM methods also show limited spatial resolution >1 μm and low time-resolved accuracy and precision, due to widefield time-gate. This study describes a new optimised approach using FLIM to quantity extracellular oxygen concentration with high accuracy (±7 μmol/kg) and spatial resolution ( ≅ 0.3 μm). An oxygen sensitive fluorescent dye, tris(2,2′-bipyridyl)ruthenium(II) chloride hexahydrate [Ru(bipy)3]+2, was excited with a multi-photon laser and fluorescence lifetime was measured using time-correlated single photon counting (TCSPC). The system was fully calibrated with optimised techniques developed for avoiding artefacts associated with photon pile-up and phototoxicity, whilst maximising spatial and temporal resolution. An extended imaging protocol (1800 sec) showed no phototoxic effects on cells at dye concentrations of <0.4 mM. Extracellular spatial oxygen gradients were identified around isolated chondrocytes, seeded in three-dimensional agarose gel. The technique was validated by regulating oxygen cellular consumption and thus confirming that the oxygen gradient was governed by cellular consumption. The technique identified a subpopulation of cells exhibiting statistically significant spatial oxygen gradients at the cell perihery. The subpopulation was shown to be significantly larger in cell diameter correlating with what that expected from chondrocytes in the deep zone. This technique provides an exciting opportunity to non-invasively quantify pericellular spatial oxygen gradients from within three-dimensional cellular constructs without prior manipulation of the cells. Thus by examining cellular metabolisms it will advance our understanding of the optimal cellular environment for tissue engineering and regenerative medicine.

FERRI, Gianmarco. "A biophysical approach to the study of living β-cell". Doctoral thesis, Scuola Normale Superiore, 2020. http://hdl.handle.net/11384/91107.

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Chakraborty, Sandeep, e 夏柏杉. "Fluorescence based methods (FLIM and FRET) to study the metabolic state of Parkinson’s disease in cell model and in vitro protein intractions". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/41738728403186503249.

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博士
國立陽明大學
生醫光電研究所
104
Fluorescence based spectroscopic and microscopic techniques have been widely used in the field of scientific research and medical diagnostics for their unique advantages, such as specificity, sensitivity, simplicity, and speed. Over the years, two of the most frequently used techniques based on fluorescence are Förster/fluorescence resonance energy transfer (FRET) spectroscopy (and microscopy) and fluorescence lifetime imaging microscopy (FLIM). Fluorescence lifetime imaging technique quantifies the average time a fluorophore remains in the excited state before descending to the ground state. This technique can easily distinguish two molecules with similar fluorescence emission bands, or the same molecule with different structural conformations based on their fluorescence lifetime. In this work, we applied two-photon fluorescence lifetime imaging microscopy (2P-FLIM) to observe two endogenous fluorescent molecules viz. reduced nicotinamide adenine dinucleotide (NADH) and oxidized flavin adenine dinucleotide (FAD). NADH have longer lifetime when it binds to protein and free NADH has shorter lifetime. On the other hand, FAD has shorter lifetime when it binds to protein, while the free FAD has longer time. In this thesis, we exploited these properties of NADH and FAD to monitor the cellular metabolic state in Parkinson’s disease (PD) cellular model in terms of the cellular redox ratios NADH/NAD+ and FADH2/FAD via 2P-FLIM. NADH and FAD are two co-enzymes which take part in the ATP production of cells in the inner-mitochondrial membrane; we monitored via 2P-FLIM to map the cellular metabolism in PD. The cellular redox state can be interpreted in terms of the fluorescence lifetime components values of NADH and FAD, and also the relative contributions of free to protein-bound NADH (and FAD). Two-photon excitation was used for lifetime imaging of NADH and FAD, as it causes less photobleaching and yields higher cell viability. PD is a progressive neurological disorder due to the loss of dopaminergic neurons in substantia nigra of mid-brain region and several lines of evidence suggest that mitochondrial dysfunction is responsible for the disease pathology. In this work, PC12 cells were first treated with nerve growth factor (NGF) to differentiate it into neuronal cells which were further treated with 1-methyl-4-phenylpyridinium (MPP+) to establish the PD cellular model. A systematic FLIM data analysis showed a statistically significant (p < 0.001) decrease in the fluorescence lifetime of both free and protein-bound NADH, as well as free and protein-bound FAD in MPP+ treated cells. On the relative contributions of the free and protein-bound NADH and FAD to the life time, however, both the free NADH contribution and the corresponding protein-bound FAD contribution increased significantly (p < 0.001) in MPP+ treated cells, compared to control cells. These results, which indicate a shift in energy production in the MPP+ treated cells from oxidative phosphorylation towards anaerobic glycolysis, can potentially be used as cellular metabolic metrics to assess the condition of PD at the cellular level. In this thesis, we also developed an organic fluorophore based steady-state quantitative FRET assay with a new and modified algorithm to extract FRET emission signal. This method was further applied to quantify the interaction between leukocyte function-associated antigen-1(LFA-1) and intercellular adhesion molecule-1 (ICAM-1) in terms of the dissociation constant (Kd). The interaction between these two transmembrane proteins plays a significant role in cellular adhesion including the extravasation and inflammatory response of leukocytes, and also in the formation of immunological synapse. Moreover, the LFA-1/ICAM-1 interaction may serve as a potential therapeutic target for the treatment of several diseases as irregular expressions of LFA-1 or ICAM-1 or both may lead to autoimmune diseases, metastasis cancer, etc. In addition, we also developed the FRET assay into a screening platform to identify peptides and small molecules that inhibit the LFA-1/ICAM-1 interaction. For the FRET pair, we used Alexa Fluor 488-LFA-1 conjugate as the donor and Alexa Fluor 555-human recombinant ICAM-1 (D1-D2-Fc) as the acceptor. From our quantitative FRET analysis, the Kd between LFA-1 and D1-D2-Fc was determined to be 17.93 ± 1.34 nM. Both the Kd determination and screening assay were performed in a 96-well plate platform, providing the opportunity to develop it into a high-throughput assay. In future, these approaches can be further developed/optimized for the study of in vivo Parkinson’s disease pathogenesis and for small molecules based drug screening.

Capitoli di libri sul tema "FLIMM method":

Petre, Anca, Didier Marty-Dessus, Laurent Berquez e Jean-Luc Franceschi. "FLIMM and FLAMM Methods". In Dielectric Materials for Electrical Engineering, 251–70. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557419.ch12.

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Kukk, Olga, Jeffrey Klarenbeek e Kees Jalink. "Time-Domain Fluorescence Lifetime Imaging of cAMP Levels with EPAC-Based FRET Sensors". In cAMP Signaling, 105–16. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2245-2_7.

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AbstractSecond messenger molecules in eukaryotic cells relay the signals from activated cell surface receptors to intracellular effector proteins. FRET-based sensors are ideal to visualize and measure the often rapid changes of second messenger concentrations in time and place. Fluorescence Lifetime Imaging (FLIM) is an intrinsically quantitative technique for measuring FRET. Given the recent development of commercially available, sensitive and photon-efficient FLIM instrumentation, it is becoming the method of choice for FRET detection in signaling studies. Here, we describe a detailed protocol for time domain FLIM, using the EPAC-based FRET sensor to measure changes in cellular cAMP levels with high spatiotemporal resolution as an example.

Morton, Penny E., e Maddy Parsons. "Measuring FRET Using Time-Resolved FLIM". In Methods in Molecular Biology, 403–13. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-207-6_27.

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Bonilla, Pedro Andrade, e Rebika Shrestha. "FLIM-FRET Protein-Protein Interaction Assay". In Methods in Molecular Biology, 261–69. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3822-4_19.

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Yoo, Tae Yeon, e Daniel J. Needleman. "Studying Kinetochores In Vivo Using FLIM-FRET". In Methods in Molecular Biology, 169–86. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3542-0_11.

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Windgasse, Lukas, e Carsten Grashoff. "Multiplexed Molecular Tension Sensor Measurements Using PIE-FLIM". In Methods in Molecular Biology, 221–37. New York, NY: Springer US, 2023. http://dx.doi.org/10.1007/978-1-0716-2851-5_15.

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Luyben, Thomas T., Jayant Rai, Bingyue Zhou, Hang Li e Kenichi Okamoto. "Two-Photon FRET/FLIM Imaging of Cerebral Neurons". In Methods in Molecular Biology, 33–43. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3810-1_4.

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Pandzic, Elvis, Renee Whan e Alex Macmillan. "Rapid FLIM Measurement of Membrane Tension Probe Flipper-TR". In Methods in Molecular Biology, 257–83. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1843-1_20.

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Becker, Wolfgang, Samuel Frere e Inna Slutsky. "Recording Ca++ Transients in Neurons by TCSPC FLIM". In Advanced Optical Methods for Brain Imaging, 103–10. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9020-2_5.

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Lionetti, Maria Chiara, e Caterina Anna Maria La Porta. "FLIM-FRET Investigation of Heterogeneous Huntingtin Aggregation in HeLa Cells". In Methods in Molecular Biology, 595–604. New York, NY: Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2597-2_36.

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Atti di convegni sul tema "FLIMM method":

Pham, C. D., V. Griseri e L. Berquez. "Space charge distribution detection by FLIMM and PEA method on electron beam irradiated dielectric films". In 2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP). IEEE, 2009. http://dx.doi.org/10.1109/ceidp.2009.5377748.

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Cerqueira, Matheus A., e Alexandre X. Falcão. "User-Assisted Design of a Neural Network for Brain Tumor Segmentation". In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sibgrapi.est.2023.27455.

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Abstract (sommario):

Brain tumor segmentation is a complicated task, with deep learning (DL) presenting the best results. However, DL segmentation models have been increasing in complexity over the last few years, requiring a high volume of fully-annotated images, which is aggravated by the fact that those models are trained to optimize a loss function with no or less understanding of how the features are learned. In contrast, a recent methodology, Feature Learning from Image Markers (FLIM), has involved an expert in the learning loop while reducing human effort in data annotation without using the backpropagation algorithm. In this work, We employ a method for estimating and selecting filters that explore user knowledge, ensuring that the first convolutional layer has features that activate the different lesions and healthy tissue patterns. We used a small U-shaped network (sU-Net) where the encoder is trained with two FLIM modifications, first with multiple training steps (MS-FLIM) and the second by using distinct configurations of markers and images using a biased FLIM (B-FLIM). The results show that the sU-Net based on MS-FLIM and B-FLIM outperforms the standard FLIM and the backpropagation algorithm. Also, We showed that our methodology achieves effectiveness within the standard deviations of the SOTA models while using a small number of layers.

Leiter, Nina, Maximilian Wohlschläger e Martin Versen. "Frequency-domain fluorescence lifetime imaging as method to analyze wood structures". In CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleo_at.2022.jw3a.19.

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Nguyen, T. X., S. Bouchareb, V. Griseri e L. Berquez. "Post-electronic irradiation measurements by PEA and FLIMM methods on dielectric films". In 2011 IEEE Conference on Electrical Insulation and Dielectric Phenomena - (CEIDP 2011). IEEE, 2011. http://dx.doi.org/10.1109/ceidp.2011.6232780.

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Kanaani, Salar, Mohammad Sadegh Helfroush, Habibollah Danyali e Mohammad Ali Kazemi. "Segmentation of skin lesions using an improved FLICM method". In 2017 7th International Conference on Computer and Knowledge Engineering (ICCKE). IEEE, 2017. http://dx.doi.org/10.1109/iccke.2017.8167919.

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Junek, J., e K. Zidek. "FLIM via RATS Method Using Single Pixel Camera". In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/3d.2020.jw5c.1.

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Alfonso-Garcia, Alba, Lisanne Kraft, Xiagnan Zhou, Julien Bec, Laura Marcu, Dongguang Wei, Shiro Urayama e Asha Cogdill. "Colorectal Polyp Assessment with Label-Free Fluorescence Lifetime Imaging". In Clinical and Translational Biophotonics. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/translational.2024.tm3b.2.

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Standard colonoscopy fails to distinguish malignant from benign colorectal tissue in real-time. Colonoscopy-compatible label-free fluorescence lifetime imaging (FLIm) in 15 patients identified malignant lesions, encouraging a non-invasive screening method for colorectal cancer.

Huang, YuHeng, Huaixin Guo e Tangsheng Chen. "Thermal conductivity of SiN flims with different thicknesses by 3ω method". In Sixth Symposium on Novel Photoelectronic Detection Technology and Application, a cura di Huilin Jiang e Junhao Chu. SPIE, 2020. http://dx.doi.org/10.1117/12.2557726.

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Schwarz, Jonas, Maximilian Wohlschläger, Nina Leiter, Veronika Auer, Michael Risse e Martin Versen. "Frequency Domain Fluorescence Lifetime Imaging Microscopy (FD-FLIM) analysis of Quercus robur samples for origin differentiation purposes". In Applied Industrial Spectroscopy. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ais.2023.jtu4a.10.

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Abstract (sommario):

Increasing demand for wood products requires methods to determine its harvest origin and ensure sustainable and legal sourcing. In 15 out of 21 cases, the origin of Quercus robur was differentiable in FD-FLIM studies.

Komarova, A. D., S. D. Sinyushkina, A. M. Mozherov, I. S. Kritchenkov, S. P. Tunik, I. N. Druzhkova, V. I. Shcheslavskiy e M. V. Shirmanova. "IN VIVO STUDY OF THE OXYGEN AND METABOLIC STATUS OF TUMORS DURING ANTI-TUMOR THERAPY USING THE PLIM/FLIM METHOD". In X Международная конференция молодых ученых: биоинформатиков, биотехнологов, биофизиков, вирусологов и молекулярных биологов — 2023. Novosibirsk State University, 2023. http://dx.doi.org/10.25205/978-5-4437-1526-1-185.

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The paper presents the results of a study of the oxygen and metabolic status of tumors in in vivo models using time-resolved PLIM/FLIM microscopy. The possibility of simultaneous assessment of the oxygen status of tumors in vivo using a new phosphorescent sensor based on iridium and the metabolic status by autofluorescence of the NAD(P)H cofactor was shown for the first time, and changes were demonstrated against the background of antiangiogenic therapy.