Quantification of cyanobacterial cells via a novel imaging-driven technique with an integrated fluorescence signature.

ABSTRACT: A novel imaging-driven technique with an integrated fluorescence signature to enable automated enumeration of two species of cyanobacteria and an alga of somewhat similar morphology to one of the cyanobacteria is presented to demonstrate proof-of-concept that high accuracy, imaging-based, rapid water quality analysis can be with conventional equipment available in typical water quality laboratories-this is not currently available. The results presented herein demonstrate that the developed method identifies and enumerates cyanobacterial cells at a level equivalent to or better than that achieved using standard manual microscopic enumeration techniques, but in less time, and requiring significantly fewer resources. When compared with indirect measurement methods, the proposed method provide

SUBMITTER: Jin C 

PROVIDER: S-EPMC5998128 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature