ACME specifications


Unique identifier OMICS_05657
Alternative name Automated Cell Morphology Extraction
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++
Computer skills Advanced
Stability Stable
Maintained Yes


No version available

Publication for Automated Cell Morphology Extraction

ACME citations


BioSig3D: High Content Screening of Three Dimensional Cell Culture Models

PLoS One
PMCID: 4792475
PMID: 26978075
DOI: 10.1371/journal.pone.0148379

[…] sing either confocal or deconvolution microscopy. compares BioSig3D with several research platforms, such as Open Microscopy Environment (also known as OMERO) [], the cell profiler [], Vaa3D [], and ACME []. BioSig3D shares some of the goals of the OMERO, but the focus is on 3D cell culture models that have been imaged in full 3D volume. As a result, colonies need to be processed in 3D, rendered […]


Segmentation and Tracking of Adherens Junctions in 3D for the Analysis of Epithelial Tissue Morphogenesis

PLoS Comput Biol
PMCID: 4401792
PMID: 25884654
DOI: 10.1371/journal.pcbi.1004124

[…] the cells and identify mitotic events [].Recently, several methods have been developed to detect the plasma membrane in tissues labeled with a membrane marker only. Mosaliganti et al. have built the ACME system to detect the planar structure of the cell membrane, and employed it to segment the spatial extent of cells in zebrafish embryos []. The EDGE system has been developed to segment and track […]

ACME institution(s)
Department of Systems Biology, Harvard Medical School, Boston, MA, USA

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