CMEIAS color segmentation: An improved computing technology to process color images for quantitative microbial ecology studies at single-cell resolution

Microbial Ecology

Volumn 59, Issue 2, 2010, Pages 400-414

  Gross, Colin A ^a,c   Reddy, Chandan K ^b,d   Dazzo, Frank B ^a,b  

^a Michigan State University ^*  (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

^d Wayne State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BACTERIA (MICROORGANISMS);

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BACTERIUM; BIOFILM; COLOR; COMPUTER PROGRAM; ECOLOGY; GENETICS; GROWTH, DEVELOPMENT AND AGING; IMAGE ENHANCEMENT; METHODOLOGY; MICROBIAL VIABILITY; MICROBIOLOGY; PHYLOGENY;

ALGORITHMS; BACTERIA; BIOFILMS; COLOR; ECOLOGY; ENVIRONMENTAL MICROBIOLOGY; IMAGE ENHANCEMENT; MICROBIAL VIABILITY; PATTERN RECOGNITION, AUTOMATED; PHYLOGENY; SOFTWARE;

EID: 77950559923     PISSN: 00953628     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00248-009-9616-7     Document Type: Article

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