Добірка наукової літератури з теми "Image de microscopie"
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Статті в журналах з теми "Image de microscopie"
Kinosita, K., H. Itoh, S. Ishiwata, K. Hirano, T. Nishizaka, and T. Hayakawa. "Dual-view microscopy with a single camera: real-time imaging of molecular orientations and calcium." Journal of Cell Biology 115, no. 1 (October 1, 1991): 67–73. http://dx.doi.org/10.1083/jcb.115.1.67.
Повний текст джерелаBouchon, Patrick, and Yannick de Wilde. "Rayonnement thermique infrarouge de nano-antennes plasmoniques individuelles." Photoniques, no. 105 (November 2020): 32–36. http://dx.doi.org/10.1051/photon/202010532.
Повний текст джерелаBraat, J. "Calcul efficace de l'intensité image en microscopie confocale appliqué à la lecture d'un disque optique." Annales de Physique 24, no. 3 (1999): 31–42. http://dx.doi.org/10.1051/anphys:199903004.
Повний текст джерелаWan, Xinjun, and Xuechen Tao. "Design of a Cell Phone Lens-Based Miniature Microscope with Configurable Magnification Ratio." Applied Sciences 11, no. 8 (April 9, 2021): 3392. http://dx.doi.org/10.3390/app11083392.
Повний текст джерелаJin, Lingbo, Yubo Tang, Yicheng Wu, Jackson B. Coole, Melody T. Tan, Xuan Zhao, Hawraa Badaoui, et al. "Deep learning extended depth-of-field microscope for fast and slide-free histology." Proceedings of the National Academy of Sciences 117, no. 52 (December 14, 2020): 33051–60. http://dx.doi.org/10.1073/pnas.2013571117.
Повний текст джерелаTetard, Martin, Ross Marchant, Giuseppe Cortese, Yves Gally, Thibault de Garidel-Thoron, and Luc Beaufort. "Technical note: A new automated radiolarian image acquisition, stacking, processing, segmentation and identification workflow." Climate of the Past 16, no. 6 (December 2, 2020): 2415–29. http://dx.doi.org/10.5194/cp-16-2415-2020.
Повний текст джерелаPerrot, J. L., A. Biron, E. Couty, L. Tognetti, C. Couzan, R. Rossi, P. Rubegni, and E. Cinotti. "Premiers cas de corrélation parfaite à l’échelle cellulaire entre image de microscopie confocale in vivo et dermatoscopie." Annales de Dermatologie et de Vénéréologie 145, no. 12 (December 2018): S186. http://dx.doi.org/10.1016/j.annder.2018.09.261.
Повний текст джерелаDavidson, Michael W. "Pioneers in Optics: Joseph Jackson Lister and Maksymilian Pluta." Microscopy Today 19, no. 3 (April 28, 2011): 54–56. http://dx.doi.org/10.1017/s1551929511000277.
Повний текст джерелаChen, Xiaodong, Bin Zheng, and Hong Liu. "Optical and Digital Microscopic Imaging Techniques and Applications in Pathology." Analytical Cellular Pathology 34, no. 1-2 (2011): 5–18. http://dx.doi.org/10.1155/2011/150563.
Повний текст джерелаJia Renqing, 贾仁庆, 殷高方 Yin Gaofang, 赵南京 Zhao Nanjing, 徐敏 Xu Min, 胡翔 Hu Xiang, 黄朋 Huang Peng, 梁天泓 Liang Tianhong та ін. "浮游藻类细胞显微多聚焦图像融合方法". Acta Optica Sinica 43, № 12 (2023): 1210001. http://dx.doi.org/10.3788/aos222153.
Повний текст джерелаДисертації з теми "Image de microscopie"
Toledo, Acosta Bertha Mayela. "Multimodal image registration in 2D and 3D correlative microscopy." Thesis, Rennes 1, 2018. http://www.theses.fr/2018REN1S054/document.
Повний текст джерелаThis thesis is concerned with the definition of an automated registration framework for 2D and 3D correlative microscopy images, in particular for correlative light and electron microscopy (CLEM) images. In recent years, CLEM has become an important and powerful tool in the bioimaging field. By using CLEM, complementary information can be collected from a biological sample. An overlay of the different microscopy images is commonly achieved using techniques involving manual assistance at several steps, which is demanding and time consuming for biologists. To facilitate and disseminate the CLEM process for biologists, the thesis work is focused on creating automatic registration methods that are reliable, easy to use and do not require parameter tuning or complex knowledge. CLEM registration has to deal with many issues due to the differences between electron microscopy and light microscopy images and their acquisition, both in terms of pixel resolution, image size, content, field of view and appearance. We have designed intensity-based methods to align CLEM images in 2D and 3D. They involved a common representation of the LM and EM images using the LoG transform, a pre-alignment step exploiting histogram-based similarities within an exhaustive search, and a fine mutual information-based registration. In addition, we have defined a robust motion model selection method, and a multiscale spot detection method which were exploited in the 2D CLEM registration. Our automated CLEM registration framework was successfully tested on several real 2D and 3D CLEM datasets and the results were validated by biologists, offering an excellent perspective in the usefulness of our methods
Denimal, Emmanuel. "Détection de formes compactes en imagerie : développement de méthodes cumulatives basées sur l'étude des gradients : Applications à l'agroalimentaire." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCK006/document.
Повний текст джерелаThe counting cells (Malassez, Thoma ...) are designed to allow the enumeration of cells under a microscope and the determination of their concentration thanks to the calibrated volume of the grid appearing in the microscopic image. Manual counting has major disadvantages: subjectivity, non-repeatability ... There are commercial automatic counting solutions, the disadvantage of which is that a well-controlled environment is required which can’t be obtained in certain studies ( eg glycerol greatly affects the quality of the images ). The objective of the project is therefore twofold: an automated cell count and sufficiently robust to be feasible regardless of the acquisition conditions.In a first step, a method based on the Fourier transform has been developed to detect, characterize and erase the grid of the counting cell. The characteristics of the grid extracted by this method serve to determine an area of interest and its erasure makes it easier to detect the cells to count.To perform the count, the main problem is to obtain a cell detection method robust enough to adapt to the variable acquisition conditions. The methods based on gradient accumulations have been improved by the addition of structures allowing a finer detection of accumulation peaks. The proposed method allows accurate detection of cells and limits the appearance of false positives.The results obtained show that the combination of these two methods makes it possible to obtain a repeatable and representative count of a consensus of manual counts made by operators
Moisan, Frédéric. "Optimisation du contraste image en microscopie optique : application à l'inspection microélectronique." Grenoble 1, 1988. http://tel.archives-ouvertes.fr/tel-00331501.
Повний текст джерелаMoisan, Frédéric. "Optimisation du contraste image en microscopie optique application à l'inspection microélectronique /." Grenoble 2 : ANRT, 1988. http://catalogue.bnf.fr/ark:/12148/cb37616602c.
Повний текст джерелаMoisan, Frédéric Courtois Bernard. "Optimisation du contraste image en microscopie optique application à l'inspection microélectronique /." S.l. : Université Grenoble 1, 2008. http://tel.archives-ouvertes.fr/tel-00331501.
Повний текст джерелаJezierska, Anna Maria. "Image restoration in the presence of Poisson-Gaussian noise." Phd thesis, Université Paris-Est, 2013. http://tel.archives-ouvertes.fr/tel-00906718.
Повний текст джерелаLe, Floch Hervé. "Acquisition des images en microscopie electronique a balayage in situ." Toulouse 3, 1986. http://www.theses.fr/1986TOU30026.
Повний текст джерелаHenrot, Simon. "Déconvolution et séparation d'images hyperspectrales en microscopie." Electronic Thesis or Diss., Université de Lorraine, 2013. http://www.theses.fr/2013LORR0187.
Повний текст джерелаHyperspectral imaging refers to the acquisition of spatial images at many spectral bands, e.g. in microscopy. Processing such data is often challenging due to the blur caused by the observation system, mathematically expressed as a convolution. The operation of deconvolution is thus necessary to restore the original image. Image restoration falls into the class of inverse problems, as opposed to the direct problem which consists in modeling the image degradation process, treated in part 1 of the thesis. Another inverse problem with many applications in hyperspectral imaging consists in extracting the pure materials making up the image, called endmembers, and their fractional contribution to the data or abundances. This problem is termed spectral unmixing and its resolution accounts for the nonnegativity of the endmembers and abundances. Part 2 presents algorithms designed to efficiently solve the hyperspectral image restoration problem, formulated as the minimization of a composite criterion. The methods are based on a common framework allowing to account for several a priori assumptions on the solution, including a nonnegativity constraint and the preservation of edges in the image. The performance of the proposed algorithms are demonstrated on fluorescence confocal images of bacterial biosensors. Part 3 deals with the spectral unmixing problem from a geometrical viewpoint. A sufficient condition on abundance coefficients for the identifiability of endmembers is proposed. We derive and study a joint observation model and mixing model and demonstrate the interest of performing deconvolution as a prior step to spectral unmixing on confocal Raman microscopy data
Henrot, Simon. "Déconvolution et séparation d'images hyperspectrales en microscopie." Phd thesis, Université de Lorraine, 2013. http://tel.archives-ouvertes.fr/tel-00931579.
Повний текст джерелаSibarita, Jean-Baptiste. "Formation et restauration d'images en microscopie à rayons : application à l'observation d'échantillons biologiques." Phd thesis, Université Joseph Fourier (Grenoble), 1996. http://tel.archives-ouvertes.fr/tel-00345364.
Повний текст джерелаКниги з теми "Image de microscopie"
Reimer, Ludwig. Scanning electron microscopy: Physics of image formation and microanalysis. 2nd ed. Berlin: Springer, 1998.
Знайти повний текст джерелаR, Wootton, Springall D. R, and Polak Julia M, eds. Image analysis in histology: Conventional and confocal microscopy. Cambridge: Published in association with the Royal Postgraduage Medical School, University of London by Cambridge University Press, 1995.
Знайти повний текст джерелаLynette, Ruschak, ed. Magnification: A pop-up lift-the-flap book. New York: Lodestar Books, 1993.
Знайти повний текст джерелаReimer, Ludwig. Transmission electron microscopy: Physics of image formation and microanalysis. 2nd ed. Berlin: Springer-Verlag, 1989.
Знайти повний текст джерела1958-, Wu Qiang, Merchant Fatima, and Castleman Kenneth R, eds. Microscope image processing. Amsterdam: Academic Press, 2008.
Знайти повний текст джерела1949-, Williams David B., Pelton Alan R, and Gronsky R, eds. Images of materials. New York: Oxford University Press, 1991.
Знайти повний текст джерелаHarmuth, Henning F. Dirac's difference equation and the physics of finite differences. Amsterdam: Academic Press, 2008.
Знайти повний текст джерелаWitkin, Joan. Histology atlas of microscopic images. New York, N.Y.]: [Columbia University Health Sciences], 2003.
Знайти повний текст джерелаJens, Rittscher, Machiraju Raghu, and Wong Stephen T. C, eds. Microscopic image analysis for life science applications. Boston [Mass.}: Artech House, 2008.
Знайти повний текст джерелаChen, Liang-Chia, Guo-Wei Wu, Sanjeev Kumar Singh, and Wei-Hsin Chein. Diffractive Image Microscopy for 3D Imaging. Singapore: Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7782-2.
Повний текст джерелаЧастини книг з теми "Image de microscopie"
Cinquin, Bertrand, Joyce Y. Kao, and Mark L. Siegal. "i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster." In Bioimage Data Analysis Workflows ‒ Advanced Components and Methods, 147–74. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76394-7_7.
Повний текст джерелаNakanishi, Tomoko M. "Real-Time Element Movement in a Plant." In Novel Plant Imaging and Analysis, 109–68. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4992-6_4.
Повний текст джерелаKumar, Amit, Fahimuddin Shaik, B. Abdul Rahim, and D. Sravan Kumar. "Image Enhancement of Leukemia Microscopic Images." In Signal and Image Processing in Medical Applications, 17–37. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0690-6_4.
Повний текст джерелаCarlton, Robert Allen. "Image Analysis." In Pharmaceutical Microscopy, 173–211. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8831-7_7.
Повний текст джерелаInoué, Shinya, and Kenneth R. Spring. "Microscope Image Formation." In Video Microscopy, 13–117. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5859-0_2.
Повний текст джерелаInoué, Shinya. "Microscope Image Formation." In Video Microscopy, 93–148. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4757-6925-8_5.
Повний текст джерелаBright, D. S., D. E. Newbury, R. B. Marinenko,, E. B. Steel,, and R. L. Myklebust. "Processing Images and Selecting Regions of Interest." In Images Of Materials, 309–37. Oxford University PressNew York, NY, 1992. http://dx.doi.org/10.1093/oso/9780195058567.003.0011.
Повний текст джерелаOrchard, Guy. "Light microscopy and digital pathology." In Histopathology, edited by Guy Orchard and Brian Nation. Oxford University Press, 2017. http://dx.doi.org/10.1093/hesc/9780198717331.003.0014.
Повний текст джерелаM, Dr Leo Caroline, Dr Nachiammai N, Dr Harini Priya A.H, and Dr R. Sathish Muthukumar. "FLUORESCENCE MICROSCOPE." In Emerging Trends in Oral Health Sciences and Dentistry. Technoarete Publishers, 2022. http://dx.doi.org/10.36647/etohsd/2022.01.b1.ch030.
Повний текст джерелаHowell, Gareth, and Kyle Dent. "Bioimaging: light and electron microscopy." In Tools and Techniques in Biomolecular Science. Oxford University Press, 2013. http://dx.doi.org/10.1093/hesc/9780199695560.003.0017.
Повний текст джерелаТези доповідей конференцій з теми "Image de microscopie"
Blochet, Baptiste, and Marc Guillon. "Single-shot phase and polarimetric microscopy." In 3D Image Acquisition and Display: Technology, Perception and Applications, JF2A.2. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/3d.2024.jf2a.2.
Повний текст джерелаBueno, Gloria, Jesus Ruiz-Santaquiteria, Noelia Vallez, Jesus Salido, Gabriel Cristóbal, and Oscar Deniz. "Telemicroscopy system applied to digital microscopy with a low-cost automated microscope." In Applications of Digital Image Processing XLVII, edited by Andrew G. Tescher and Touradj Ebrahimi, 1. SPIE, 2024. http://dx.doi.org/10.1117/12.3028227.
Повний текст джерелаGalliopoulou, Eirini C., Christopher Jones, Lawrence Coghlan, Mariia Zimina, Tomas L. Martin, Peter E. J. Flewitt, Alan Cocks, John Siefert, and Jonathan D. Parker. "Creep Cavitation Imaging and Analysis in 9%Cr-1%Mo P91 Steels." In AM-EPRI 2024, 219–34. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.am-epri-2024p0219.
Повний текст джерелаOzcan, Aydogan. "Virtual Staining of Label-free Tissue." In Frontiers in Optics, FM3D.1. Washington, D.C.: Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.fm3d.1.
Повний текст джерелаStegmann, Heiko, and Flavio Cognigni. "Few-Shot AI Segmentation of Semiconductor Device FIB-SEM Tomography Data." In ISTFA 2024, 13–21. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0013.
Повний текст джерелаKurumundayil, Leslie, Theresa Trötschler, Jonas Schönauer, Doga Can Öner, Stefan Rein, and Matthias Demant. "Microscopic Image Analysis of Printed Structures Without a Microscope: A Deep Learning Approach." In 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC), 0802–4. IEEE, 2024. http://dx.doi.org/10.1109/pvsc57443.2024.10749537.
Повний текст джерелаKhoubafarin, Somaiyeh, Peuli Nath, Hannah Popofski, and Aniruddha Ray. "High resolution Multi-Modal Microscopy using Microlens Substrates." In CLEO: Applications and Technology, ATu4B.1. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.atu4b.1.
Повний текст джерелаIncardona, Nicolo, Angel Tolosa, Gabriele Scrofani, Manuel Martinez-Corral, and Genaro Saavedra. "The Lightfield Eyepiece: an Add-on for 3D Microscopy." In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/3d.2022.3tu5a.6.
Повний текст джерелаXing, Z. G., C. M. Zhao, J. Wei, and Z. Wei. "3D Reconstruction Based on Single Defocused Microscopic Image." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86644.
Повний текст джерелаChao, S. H., M. R. Holl, J. H. Koschwanez, R. H. Carlson, L. S. Jang, and D. R. Meldrum. "Velocity Measurements in Microchannels With a Laser Scanning Microscope and Particle Linear Image Velocimetry." In ASME 2004 2nd International Conference on Microchannels and Minichannels. ASMEDC, 2004. http://dx.doi.org/10.1115/icmm2004-2432.
Повний текст джерелаЗвіти організацій з теми "Image de microscopie"
Greaves, C., and J. B. R. Eamer. Focus stacking for cataloguing, presentation, and identification of microfossils in marine sediments. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331355.
Повний текст джерелаMoon, Bill. Employment of Crystallographic Image Processing Techniques to Scanning Probe Microscopy Images of Two-Dimensional Periodic Objects. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.699.
Повний текст джерелаPennycook, S. J., and A. R. Lupini. Image Resolution in Scanning Transmission Electron Microscopy. Office of Scientific and Technical Information (OSTI), June 2008. http://dx.doi.org/10.2172/939888.
Повний текст джерелаDabros, M. J., and P. J. Mudie. An Automated Microscope System For Image Analysis in Palynology and Micropaleontology. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/120356.
Повний текст джерелаSalapaka, Srinivasa M., and Petros G. Voulgaris. Fast Scanning and Fast Image Reconstruction in Atomic Force Microscopy. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada495364.
Повний текст джерелаBajcsy, Peter, and Nathan Hotaling. Interoperability of web computational plugins for large microscopy image analyses. Gaithersburg, MD: National Institute of Standards and Technology, March 2020. http://dx.doi.org/10.6028/nist.ir.8297.
Повний текст джерелаWendelberger, James G. Localized Similar Image Texture in Images of Sample Laser Confocal Microscope for Area: FY15 DE07 SW C1 Zone 1 & 2 Section b. Office of Scientific and Technical Information (OSTI), February 2019. http://dx.doi.org/10.2172/1496724.
Повний текст джерелаBolgert, Peter J. A Comparison of Image Quality Evaluation Techniques for Transmission X-Ray Microscopy. Office of Scientific and Technical Information (OSTI), August 2012. http://dx.doi.org/10.2172/1049731.
Повний текст джерелаGłąb, Tomasz, Jarosław Knaga, Tomasz Zaleski, Paweł Dziwisz, Jan Gluza, and Dariusz Glanas. Determination of soil particle size distribution using computer analysis of microscopic images. Publishing House of the University of Agriculture in Krakow, 2025. https://doi.org/10.15576/repourk/2025.1.3.
Повний текст джерелаWendelberger, James. Template size and proper overlap detection in Laser Confocal Microscope (LCM) images. Office of Scientific and Technical Information (OSTI), August 2021. http://dx.doi.org/10.2172/1812643.
Повний текст джерела