TechRxiv
1/1
2 files

SPECHT: Self-tuning Plausibility Based Object Detection Enables Quantification of Conflict in Heterogeneous Multi-scale Microscopy

preprint
posted on 19.09.2020 by Ben Cardoen, Timothy Wong, Parsa Alan, Sieun Lee, Joanne Aiko Matsubara, Ivan Robert Nabi, Ghassan Hamarneh
Self-tuning unsupervised analysis of STED super resolution of fluorescent labelled Caveolin-1, confocal microscopy of retina tissue. See manuscript for complete description.

Funding

CIHR PJT-159845, PJT-156424

Natural Sciences and Engineering Research Council

Canada Foundation for Innovation and British Columbia Knowledge Development Fund

Simon Fraser University Big Data Scholarship

History

Email Address of Submitting Author

bcardoen@sfu.ca

ORCID of Submitting Author

0000-0001-6871-1165

Submitting Author's Institution

Simon Fraser University

Submitting Author's Country

Canada

Exports