Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC - Padovani, Francesco; Mairhörmann, Benedikt; Falter-Braun, Pascal; Lengefeld, Jette; Schmoller, Kurt M. (BMC biology, 2022)
Keywords: Accuracy; Algorithms; Analysis; Annotations; Automation; Bioimage analysis; Biomedical and Life Sciences; Cell culture; Cell Cycle; Cell cycle analysis; Cell division; Cell size; Cell tracking; Cell Tracking - methods; Data analysis; Deep learning; Deep-learning cell segmentation; Equipment and supplies; Graphical user interface; Hematopoietic stem cells; Histones; Image analysis; Image processing; Image Processing, Computer-Assisted - methods; Image segmentation; Life Sciences; Live-cell imaging; Machine learning; Metadata; Methods; Microscopy; Neural networks; Saccharomyces cerevisiae; Software; Source code; Stem cells; Tagging; TOR protein; Tracking errors; User interface; Workflow; Yeast; Germany; Fiji; Live-cell imaging; Cell cycle analysis; Cell tracking; Deep-learning cell segmentation; Bioimage analysis