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Hoesli CA, Tremblay C, Juneau PM, Boulanger MD, Beland AV, Ling SD, Gaillet B, Duchesne C, Ruel J, Laroche G, Garnier A. Dynamics of Endothelial Cell Responses to Laminar Shear Stress on Surfaces Functionalized with Fibronectin-Derived Peptides. ACS Biomater Sci Eng 2018; 4:3779-3791. [DOI: 10.1021/acsbiomaterials.8b00774] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Corinne A. Hoesli
- Department of Chemical Engineering, Faculty of Engineering, McGill University, Wong Building, 3610 University Street, Montréal, Québec H3A 0C5, Canada
- PROTEO Research Center, Québec, Canada
| | - Catherine Tremblay
- Département de Génie Mécanique, Faculté des Sciences et de Génie, Université Laval, Pavillon Adrien-Pouliot, 1065 Avenue de la Médecine, Québec, Québec, G1V 0A6, Canada
| | - Pierre-Marc Juneau
- Département de Génie Chimique, Faculté des Sciences et de Génie, Université Laval, Pavillon Adrien-Pouliot, 1065 Avenue de la Médecine, Québec, Québec G1V 0A6, Canada
- PROTEO Research Center, Québec, Canada
| | - Mariève D. Boulanger
- Department of Chemical Engineering, Faculty of Engineering, McGill University, Wong Building, 3610 University Street, Montréal, Québec H3A 0C5, Canada
- Département de Génie Chimique, Faculté des Sciences et de Génie, Université Laval, Pavillon Adrien-Pouliot, 1065 Avenue de la Médecine, Québec, Québec G1V 0A6, Canada
- Centre de Recherche sur les Matériaux Avancés, Département de Génie des Mines, De la Métallurgie et des Matériaux, Université Laval, Québec G1V 0A6,Canada
| | - Ariane V. Beland
- Department of Chemical Engineering, Faculty of Engineering, McGill University, Wong Building, 3610 University Street, Montréal, Québec H3A 0C5, Canada
| | - Si Da Ling
- Department of Chemical Engineering, Faculty of Engineering, McGill University, Wong Building, 3610 University Street, Montréal, Québec H3A 0C5, Canada
| | - Bruno Gaillet
- Département de Génie Chimique, Faculté des Sciences et de Génie, Université Laval, Pavillon Adrien-Pouliot, 1065 Avenue de la Médecine, Québec, Québec G1V 0A6, Canada
- PROTEO Research Center, Québec, Canada
| | - Carl Duchesne
- Département de Génie Chimique, Faculté des Sciences et de Génie, Université Laval, Pavillon Adrien-Pouliot, 1065 Avenue de la Médecine, Québec, Québec G1V 0A6, Canada
| | - Jean Ruel
- Département de Génie Mécanique, Faculté des Sciences et de Génie, Université Laval, Pavillon Adrien-Pouliot, 1065 Avenue de la Médecine, Québec, Québec, G1V 0A6, Canada
| | - Gaétan Laroche
- Centre de Recherche sur les Matériaux Avancés, Département de Génie des Mines, De la Métallurgie et des Matériaux, Université Laval, Québec G1V 0A6,Canada
- Centre de Recherche du CHU de Québec, Hôpital Saint-François d’Assise, 10 rue de l’Espinay, Bureau E0-165Québec, Québec G1L 3L5, Canada
| | - Alain Garnier
- Département de Génie Chimique, Faculté des Sciences et de Génie, Université Laval, Pavillon Adrien-Pouliot, 1065 Avenue de la Médecine, Québec, Québec G1V 0A6, Canada
- PROTEO Research Center, Québec, Canada
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Du Y, Budman HM, Duever TA. Segmentation and Quantitative Analysis of Apoptosis of Chinese Hamster Ovary Cells from Fluorescence Microscopy Images. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2017; 23:569-583. [PMID: 28367787 DOI: 10.1017/s1431927617000381] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Accurate and fast quantitative analysis of living cells from fluorescence microscopy images is useful for evaluating experimental outcomes and cell culture protocols. An algorithm is developed in this work to automatically segment and distinguish apoptotic cells from normal cells. The algorithm involves three steps consisting of two segmentation steps and a classification step. The segmentation steps are: (i) a coarse segmentation, combining a range filter with a marching square method, is used as a prefiltering step to provide the approximate positions of cells within a two-dimensional matrix used to store cells' images and the count of the number of cells for a given image; and (ii) a fine segmentation step using the Active Contours Without Edges method is applied to the boundaries of cells identified in the coarse segmentation step. Although this basic two-step approach provides accurate edges when the cells in a given image are sparsely distributed, the occurrence of clusters of cells in high cell density samples requires further processing. Hence, a novel algorithm for clusters is developed to identify the edges of cells within clusters and to approximate their morphological features. Based on the segmentation results, a support vector machine classifier that uses three morphological features: the mean value of pixel intensities in the cellular regions, the variance of pixel intensities in the vicinity of cell boundaries, and the lengths of the boundaries, is developed for distinguishing apoptotic cells from normal cells. The algorithm is shown to be efficient in terms of computational time, quantitative analysis, and differentiation accuracy, as compared with the use of the active contours method without the proposed preliminary coarse segmentation step.
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Affiliation(s)
- Yuncheng Du
- 1Chemical Engineering,Clarkson University,8 Clarkson Ave,Potsdam,NY 13699-5805,USA
| | - Hector M Budman
- 2Chemical Engineering,University of Waterloo,200 University Ave,Waterloo,ON N2L 3G1,Canada
| | - Thomas A Duever
- 3Chemical Engineering,Ryerson University,350 Victoria Street. Toronto,ON M5B 2K3,Canada
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