Automated image-based method for laboratory screening of coating libraries for adhesion of algae and bacterial biofilms.
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.
Ribeiro
Eraldo
E
Computer Sciences, Florida Institute of Technology, Melbourne, Florida 32901, USA.
Stafslien
Shane J
SJ
Cassé
Franck
F
Callow
James A
JA
Callow
Maureen E
ME
Pieper
Robert J
RJ
Daniels
Justin W
JW
Bahr
James A
JA
Webster
Dean C
DC
D000179:Acrylates / Q000737:chemistry; D000465:Algorithms; D001422:Bacterial Adhesion; D018441:Biofilms; D018533:Biomass; D003116:Color; D020650:Combinatorial Chemistry Techniques / Q000295:instrumentation* / Q000379:methods*; D003589:Cytophaga / Q000737:chemistry / Q000502:physiology*; D008954:Models, Biological; D011108:Polymers / Q000737:chemistry; D012984:Software; D044445:Ulva / Q000737:chemistry / Q000502:physiology*
D000179:Acrylates; D011108:Polymers; C024617:polyol; C036658:acrylic acid