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

Ben Cardoen,Timothy H. Wong,Parsa Alan,Sieun Lee,Joanne A. Matsubara,Ivan R. Nabi,Ghassan Hamarneh

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

2020

Ben Cardoen
Timothy H. Wong
Parsa Alan
Sieun Lee
Joanne A. Matsubara
Ivan R. 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.

Keywords:

Computer vision
belief theory
Artificial intelligence
Confocal
Fluorescence
Microscopy
Confocal microscopy
Superresolution
Object detection
STED microscopy
Computer science

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