An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs

• Main Authors: Zhang, Z, Xia, S, Kanchanawong, P
• Other Authors: MECHANOBIOLOGY INSTITUTE
• Format: Article
• Published: 2020
• Subjects: Cells; Cytology; Extraction; Fluorescence; Fluorescence microscopy; Image analysis; Image segmentation; Open source software; Open systems; Piecewise linear techniques; Proteins; Sensitivity analysis; Software engineering; Stresses; Tissue culture; Actin cytoskeleton; Fluorescence micrograph; Micro pattern; Morphological analysis; Quantitative extraction; Stress fibers; TIRF; Tissue culture cells; Fibers; actin; algorithm; anisotropy; automation; cell shape; fluorescence microscopy; human; image enhancement; metabolism; procedures; software; stress fiber; tumor cell line; Actins; Algorithms; Anisotropy; Automation; Cell Line, Tumor; Cell Shape; Humans; Image Enhancement; Microscopy, Fluorescence; Software; Stress Fibers
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/181279
• Institution: National University of Singapore

10.1186/s12859-017-1684-y