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Preprocessing methods for quantitative phase image stitching
Author(s) -
Piotr Stępień,
Wojciech Krauze,
Małgorzata Kujawińska
Publication year - 2021
Publication title -
biomedical optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.439045
Subject(s) - image stitching , preprocessor , computer science , robustness (evolution) , image processing , computer vision , artificial intelligence , metrology , phase (matter) , optics , image (mathematics) , physics , biochemistry , chemistry , quantum mechanics , gene
Quantitative phase imaging of cell cultures and histopathological slides often requires measurements in large fields of view which is realized through the stitching of multiple high resolution phase maps. Due to the characteristic properties of phase images, careful preprocessing is crucial for maintaining the metrological value of the stitched phase image. In this work, we present various methods that address those properties. Our efforts are focused on increasing robustness to minimize error propagation in consecutive preprocessing steps.

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