%0 Journal Article %T Bioimage Analysis and Cell Motility %+ Analyse d'images biologiques - Biological Image Analysis (BIA) %+ Sorbonne Université (SU) %+ Biologie des Interactions Hôte-Parasite - Biology of Host-Parasite Interactions %A Boquet-Pujadas, Aleix %A Olivo-Marin, Jean-Christophe %A Guillén, Nancy %Z This work was partially supported by grants from the Labex IBEID (ANR-10-LABX-62-IBEID), France-BioImaging infrastructure (ANR-10-INBS-04), the PIA INCEPTION program (ANR-16-CONV-0005), and the Consortiums Intestinalamibe (ANR-MIE-08) and Infect-ERA (ANR-14-IFEC-0001-02). A.B.P. is part of the Pasteur- Paris University (PPU) International PhD Program, which received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement no. 665807, and from the Institut Carnot Pasteur Microbes & Santé (ANR 16 CARN 0023-01). %< avec comité de lecture %J Patterns %I Cell Press Elsevier %V 2 %N 1 %P 100170 %8 2021-01 %D 2021 %R 10.1016/j.patter.2020.100170 %M 33511365 %K Entamoeba Histolytica %K bioimage analysis %K cell biology %K cell biophysics %K cell morphology %K cell motility %K cell segmentation %K cell tracking %K computational biology %K inverse problems %K mechano-biology %Z Life Sciences [q-bio] %Z Computer Science [cs]Journal articles %X Bioimage analysis (BIA) has historically helped study how and why cells move; biological experiments evolved in intimate feedback with the most classical image processing techniques because they contribute objectivity and reproducibility to an eminently qualitative science. Cell segmentation, tracking, and morphology descriptors are all discussed here. Using ameboid motility as a case study, these methods help us illustrate how proper quantification can augment biological data, for example, by choosing mathematical representations that amplify initially subtle differences, by statistically uncovering general laws or by integrating physical insight. More recently, the non-invasive nature of quantitative imaging is fertilizing two blooming fields: mechanobiology, where many biophysical measurements remain inaccessible, and microenvironments, where the quest for physiological relevance has exploded data size. From relief to remedy, this trend indicates that BIA is to become a main vector of biological discovery as human visual analysis struggles against ever more complex data. %G English %2 https://pasteur.hal.science/pasteur-03152918/document %2 https://pasteur.hal.science/pasteur-03152918/file/1-s2.0-S2666389920302348-main.pdf %L pasteur-03152918 %U https://pasteur.hal.science/pasteur-03152918 %~ INSERM %~ PASTEUR %~ CNRS %~ OPENAIRE %~ SORBONNE-UNIVERSITE %~ SORBONNE-UNIV %~ SU-TI %~ ANR %~ ALLIANCE-SU %~ BIOLOGICAL-IMAGE-ANALYSIS %~ UMR3691 %~ BIOLOGY-HOST-PARASITE-INTERACTIONS