Urszula Hohmann, Chalid Ghadban, Julian Prell, Christian Strauss, Faramarz Dehghani, Tim Hohmann
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引用次数: 0
Abstract
Background: Analyses of collective cell migration and orientation phenomena are needed to assess the behavior of multicellular clusters. While some tools to the authors' knowledge none is capable to analyze collective migration, cellular orientation and proliferation in phase contrast images simultaneously.
Methods: We provide a tool based to analyze phase contrast images of dense cell layers. PIV is used to calculatevelocity fields, while the structure tensor provides cellular orientation. An artificial neural network is used to identify cell division events, allowing to correlate migratory and organizational phenomena with cell density.
Conclusion: The presented tool allows the simultaneous analysis of collective cell behavior from phase contrast images in terms of migration, (self-)organization and proliferation.
期刊介绍：
Cell Adhesion & Migration is a multi-disciplinary, peer reviewed open access journal that focuses on the biological or pathological implications of cell-cell and cell-microenvironment interactions. The main focus of this journal is fundamental science. The journal strives to serve a broad readership by regularly publishing review articles covering specific disciplines within the field, and by publishing focused issues that provide an overview on specific topics of interest within the field.
Cell Adhesion & Migration publishes relevant and timely original research, as well as authoritative overviews, commentaries, and perspectives, providing context for the work presented in Cell Adhesion & Migration and for key results published elsewhere. Original research papers may cover all topics important in the field of cell-cell and cell-matrix interactions. Cell Adhesion & Migration also publishes articles related to cell biomechanics, biomaterial, and development of related imaging technologies.
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