Abstract:
:Quantification of cellular antigens and their interactions via antibody-based detection methods are widely used in scientific research. Accurate high-throughput quantitation of these assays using general image analysis software can be time consuming and challenging, particularly when attempted by users with limited image processing and analysis knowledge. To overcome this, we have designed Andy's Algorithms, a series of automated image analysis pipelines for FIJI, that permits rapid, accurate and reproducible batch-processing of 3,3'-diaminobenzidine (DAB) immunohistochemistry, proximity ligation assays (PLAs) and other common assays. Andy's Algorithms incorporates a step-by-step tutorial and optimization pipeline to make batch image analysis simple for the untrained user and adaptable across laboratories. Andy's algorithms provide a simpler, faster, standardized work flow compared to existing programs, while offering equivalent performance and additional features, in a free to use open-source application of FIJI. Andy's Algorithms are available at GitHub, publicly accessed at https://github.com/andlaw1841/Andy-s-Algorithm .
journal_name
Sci Repjournal_title
Scientific reportsauthors
Law AMK,Yin JXM,Castillo L,Young AIJ,Piggin C,Rogers S,Caldon CE,Burgess A,Millar EKA,O'Toole SA,Gallego-Ortega D,Ormandy CJ,Oakes SRdoi
10.1038/s41598-017-15885-6subject
Has Abstractpub_date
2017-11-16 00:00:00pages
15717issue
1issn
2045-2322pii
10.1038/s41598-017-15885-6journal_volume
7pub_type
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