In vitro monitoring of photoinduced necrosis in HeLa cells using digital holographic microscopy and machine learning.
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T N Belyaeva | A V Belashov | A A Zhikhoreva | E S Kornilova | A V Salova | I V Semenova | O S Vasyutinskii | A. Belashov | I. Semenova | T. Belyaeva | E. Kornilova | A. Salova | O. Vasyutinskii | A. Zhikhoreva
[1] Christian Depeursinge,et al. Quantitative phase imaging in biomedicine , 2018, Nature Photonics.
[2] Fernand Meyer,et al. Topographic distance and watershed lines , 1994, Signal Process..
[3] Hayit Greenspan,et al. Automated analysis of individual sperm cells using stain‐free interferometric phase microscopy and machine learning , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[4] Junmin Lee,et al. Rewiring mesenchymal stem cell lineage specification by switching the biophysical microenvironment , 2014, Scientific Reports.
[5] A. A. Zhikhoreva,et al. Morphological changes in the ovarian carcinoma cells of Wistar rats induced by chemotherapy with cisplatin and dioxadet. , 2018, Biomedical optics express.
[6] Yongjin Sung,et al. Quantitative dispersion microscopy , 2010, Biomedical optics express.
[7] Byoungho Lee,et al. Holographic fluorescence microscopy with incoherent digital holographic adaptive optics , 2015, Journal of biomedical optics.
[8] A. A. Zhikhoreva,et al. Digital holographic microscopy in label-free analysis of cultured cells' response to photodynamic treatment. , 2016, Optics letters.
[9] J. Chi,et al. Automated Detection of P. falciparum Using Machine Learning Algorithms with Quantitative Phase Images of Unstained Cells , 2016, PloS one.
[10] Badrinath Roysam,et al. A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks , 2003, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[11] YongKeun Park,et al. Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning , 2017, Scientific Reports.
[12] J. Blein,et al. Relationship between Active Oxygen Species, Lipid Peroxidation, Necrosis, and Phytoalexin Production Induced by Elicitins in Nicotiana , 1996, Plant physiology.
[13] Nicolas Pavillon,et al. Noninvasive detection of macrophage activation with single-cell resolution through machine learning , 2018, Proceedings of the National Academy of Sciences.
[14] Wen Xiao,et al. Quantitative observations on cytoskeleton changes of osteocytes at different cell parts using digital holographic microscopy. , 2018, Biomedical optics express.
[15] Fumihito Arai,et al. Intelligent Image-Activated Cell Sorting , 2018, Cell.
[16] Yibo Zhang,et al. Phase recovery and holographic image reconstruction using deep learning in neural networks , 2017, Light: Science & Applications.
[17] Van Lam,et al. Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection. , 2017, Optics express.
[18] George Nehmetallah,et al. Quantitative assessment of cancer cell morphology and motility using telecentric digital holographic microscopy and machine learning , 2018, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[19] A. Ozcan,et al. On the use of deep learning for computational imaging , 2019, Optica.
[20] Shusheng Bi,et al. Segmentation of the Clustered Cells with Optimized Boundary Detection in Negative Phase Contrast Images , 2015, PloS one.
[21] A. Belashov,et al. Refractive index distributions in dehydrated cells of human oral cavity epithelium , 2017 .
[22] I. V. Semenova,et al. HeLa cells response to photodynamic treatment with Radachlorin at various irradiation parameters , 2017, European Conference on Biomedical Optics.
[23] Zahid Yaqoob,et al. Large population cell characterization using quantitative phase cytometer , 2017, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[24] S. S. Gorthi,et al. Phase imaging flow cytometry using a focus-stack collecting microscope. , 2012, Optics letters.
[25] Jimin Lee,et al. Deep-Learning-Based Label-Free Segmentation of Cell Nuclei in Time-Lapse Refractive Index Tomograms , 2019, IEEE Access.
[26] R A Knight,et al. Molecular definitions of cell death subroutines: recommendations of the Nomenclature Committee on Cell Death 2012 , 2011, Cell Death and Differentiation.
[27] Mariano Rivera,et al. Phase unwrapping by accumulation of residual maps , 2015 .
[28] M. Unser,et al. Complex-wave retrieval from a single off-axis hologram. , 2004, Journal of the Optical Society of America. A, Optics, image science, and vision.
[29] R. Sabo,et al. Reconstituting donor T cells increase their biomass following hematopoietic stem cell transplantation. , 2018, The Analyst.
[30] Myong Hwan Sohn,et al. Three-dimensional motion measurements of free-swimming microorganisms using digital holographic microscopy , 2011 .
[31] Taesik Go,et al. Machine learning‐based in‐line holographic sensing of unstained malaria‐infected red blood cells , 2018, Journal of biophotonics.
[32] Katherine Creath,et al. Quantitative phase microscopy: automated background leveling techniques and smart temporal phase unwrapping. , 2015, Applied optics.
[33] Hugo Jair Escalante,et al. Split and merge watershed: A two-step method for cell segmentation in fluorescence microscopy images , 2019, Biomed. Signal Process. Control..
[34] G. Cappello,et al. Optical volume and mass measurements show that mammalian cells swell during mitosis , 2015, The Journal of cell biology.
[35] Pinhas Girshovitz,et al. Generalized cell morphological parameters based on interferometric phase microscopy and their application to cell life cycle characterization , 2012, Biomedical optics express.
[36] V. P. Belik,et al. Time-resolved spectral analysis of Radachlorin luminescence in water. , 2017, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.
[37] Ata Mahjoubfar,et al. Deep Learning in Label-free Cell Classification , 2016, Scientific Reports.
[38] R A Knight,et al. Classification of cell death: recommendations of the Nomenclature Committee on Cell Death 2009 , 2005, Cell Death and Differentiation.
[39] D. Dou,et al. Porphyrin photosensitizers in photodynamic therapy and its applications , 2017, Oncotarget.
[40] Edmund Y. Lam,et al. Learning-based nonparametric autofocusing for digital holography , 2018 .
[41] Stephan Waldner,et al. A simple and effective method for filtering speckle-interferometric phase fringe patterns , 1999 .
[42] Vladimir Katkovnik,et al. High-accuracy off-axis wavefront reconstruction from noisy data: local least square with multiple adaptive windows. , 2016, Optics express.
[43] C. Werner,et al. Satellite radar interferometry: Two-dimensional phase unwrapping , 1988 .
[44] A V Belashov,et al. Quantitative assessment of changes in cellular morphology at photodynamic treatment in vitro by means of digital holographic microscopy. , 2018, Biomedical optics express.
[45] Chau-Jern Cheng,et al. Integrated dual-tomography for refractive index analysis of free-floating single living cell with isotropic superresolution , 2018, Scientific Reports.
[46] A. G. Smolin,et al. Kinetics of photobleaching of Radachlorin® photosensitizer in aqueous solutions , 2016 .
[47] B. Halliwell,et al. Lipid peroxidation: its mechanism, measurement, and significance. , 1993, The American journal of clinical nutrition.
[48] Wen Xiao,et al. Coherent noise reduction in digital holographic microscopy by averaging multiple holograms recorded with a multimode laser. , 2017, Optics express.
[49] M. Ochsner. Photophysical and photobiological processes in the photodynamic therapy of tumours. , 1997, Journal of photochemistry and photobiology. B, Biology.
[50] Bahram Javidi,et al. Recognition and classification of red blood cells using digital holographic microscopy and data clustering with discriminant analysis. , 2011, Journal of the Optical Society of America. A, Optics, image science, and vision.
[51] Zhuo Wang,et al. Optical measurement of cycle-dependent cell growth , 2011, Proceedings of the National Academy of Sciences.