title: CAIMAN: an online algorithm repository for Cancer Image Analysis.
abstract: CAIMAN (CAncer IMage ANalysis: http://www.caiman.org.uk) is an online algorithm repository that provides specifically designed algorithms to analyse the images produced by experiments relevant to Cancer Research and Life Sciences, especially vascular biology. CAIMAN is accessed through a user-friendly website where researchers can upload their images and the results are returned by email. CAIMAN does not intend to replace more sophisticated software solutions such as ImageJ, Matlab, or commercial packages, but it will provide a first stop where any researcher can upload images and can obtain quantitative results without having to do any programming at all.
authors.affiliation: Cancer Research UK Tumour Microcirculation Group, Department of Oncology, The University of Sheffield, K Floor, School of Medicine, Dentistry and Health, UK. c.reyes@sheffield.ac.uk
authors.forename: Constantino Carlos
authors.initials: CC
authors.lastname: Reyes-Aldasoro
authors.forename: Michael K
authors.initials: MK
authors.lastname: Griffiths
authors.forename: Deniz
authors.initials: D
authors.lastname: Savas
authors.forename: Gillian M
authors.initials: GM
authors.lastname: Tozer
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted; D020407:Internet; D009369:Neoplasms / Q000473:pathology*; D012984:Software; D014584:User-Computer Interface