Automated image-based method for laboratory screening of coating libraries for adhesion of algae and bacterial biofilms

E Ribeiro, SJ Stafslien, F Casse, James Callow, Maureen Callow, RJ Pieper, JW Daniels, JA Bahr, DC Webster

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Assessment and down-selection of non-biocidal coatings that prevent the adhesion of fouling organisms in the marine environment requires a hierarchy of laboratory methods to reduce the number of experimental coatings for field testing. Automated image-based methods are described that facilitate. rapid, quantitative biological screening of coatings generated through combinatorial polymer chemistry. Algorithms are described that measure the coverage of bacterial and algal biofilms on coatings prepared in 24-well plates and on array panels, respectively. The data are used to calculate adhesion strength of organisms on experimental coatings. The results complement a number of physical and mechanical methods developed to screen large numbers of samples.
Original languageEnglish
Pages (from-to)586-594
Number of pages9
JournalJournal of Combinatorial Chemistry
Volume10
Issue number4
DOIs
Publication statusPublished - 1 Jan 2008

Fingerprint

Dive into the research topics of 'Automated image-based method for laboratory screening of coating libraries for adhesion of algae and bacterial biofilms'. Together they form a unique fingerprint.

Cite this