Software tools designed by members of the Hutson lab:<\/p>\n
D.N. Mashburn, H.E. Lynch, X. Ma, M.S. Hutson (2012) \u201cEnabling user-guided segmentation and tracking of surface-labeled cells in time-lapse image sets of living tissues\u201d <\/span>Cytometry A<\/em> 81A(5): 409-418 (<\/span>DOI: 10.1002\/cyto.a.22034<\/a>).<\/span><\/p>\n <\/p>\n G.W. Brodland, J.H. Veldhuis, S. Kim, M. Perrone, D. Mashburn and M.S. Hutson (2014) \u201cCellFIT: a cellular force-inference toolkit using curvilinear cell boundaries\u201d <\/span>PLoS ONE<\/em> 9(6): e99116 (<\/span>DOI: 10.1371\/journal.pone.0099116<\/a>).<\/span><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Software tools designed by members of the Hutson lab: Seedwater Segmenter – provides intuitive and fast tools for manual editing of watershed-based segmentations. D.N. Mashburn, H.E. Lynch, X. Ma, M.S. Hutson (2012) \u201cEnabling user-guided segmentation and tracking of surface-labeled cells in time-lapse image sets of living tissues\u201d Cytometry A 81A(5): 409-418 (DOI: 10.1002\/cyto.a.22034). CellFIT:…<\/p>\n","protected":false},"author":246,"featured_media":0,"parent":0,"menu_order":40,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"tags":[],"class_list":["post-457","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/pages\/457","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/users\/246"}],"replies":[{"embeddable":true,"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/comments?post=457"}],"version-history":[{"count":11,"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/pages\/457\/revisions"}],"predecessor-version":[{"id":487,"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/pages\/457\/revisions\/487"}],"wp:attachment":[{"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/media?parent=457"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.dev.vanderbilt.edu\/shanehutson\/wp-json\/wp\/v2\/tags?post=457"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<\/h3>\n
CellFIT: Cellular Force Inference Toolkit<\/a> <\/span>– begins with a segmented image of cells and uses least squares regression to estimate tensions along each cell-cell interface and pressures (stresses) within each cell.<\/span><\/h3>\n