Software for Quantification of Labeled Bacteria from Digital Microscope Images by Automated Image Analysis | Zendy

Jyrki Selinummi | Zendy; Jenni J. Seppälä | Zendy; Olli YliHarja | Zendy; Jaakko A. Puhakka | Zendy

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Software for Quantification of Labeled Bacteria from Digital Microscope Images by Automated Image Analysis

Author(s) -

Jyrki Selinummi,

Jenni J. Seppälä,

Olli YliHarja,

Jaakko A. Puhakka

Publication year - 2005

Publication title -

biotechniques

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.617

H-Index - 131

eISSN - 1940-9818

pISSN - 0736-6205

DOI - 10.2144/000112018

Subject(s) - microscope , image analysis , digital image analysis , digital image , bacteria , software , image processing , digital imaging , microscopy , computer science , computer vision , biology , computational biology , artificial intelligence , image (mathematics) , optics , genetics , physics , programming language

Automated image analysis software, CellC, was developed and validated for quantification of bacterial cells from digital microscope images. CellC enables automated enumeration of bacterial cells, comparison of total count and specific count images [e.g., 4',6-diamino-2-phenylindole (DAPI) and fluorescence in situ hybridization (FISH) images], and provides quantitative estimates of cell morphology. The software includes an intuitive graphical user interface that enables easy usage as well as sequential analysis of multiple images without user intervention. Validation of enumeration reveals correlation to be better than 0.98 when total bacterial counts by CellC are compared with manual enumeration, with all validated image types. The software is freely available and modifiable: the executable files and MATLAB source codes can be obtained at www. cs. tut.fi/sgn/csb/cellc.

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