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A Framework for Generating Realistic Synthetic Sequences of Total Internal Reflection Fluorescence Microscopy Images

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Rezatofighi, Seyed; Pitkeathly, William T.E.; Gould, Stephen; Hartley, Richard; Mele, Katarina; Hughes, William E; Burchfield, James G.

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Since generation of reliable ground truth annotation of fluorescence microscopy sequences is usually a laborious and expensive task, many proposed detection and tracking methods have been evaluated using synthetic data with known ground truth. However, di

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
URI: http://hdl.handle.net/1885/65973
Source: A Framework for Generating Realistic Synthetic Sequences of Total Internal Reflection Fluorescence Microscopy Images
DOI: 10.1109/ISBI.2013.6556436

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