Literature DB >> 35154849

Preprocessing methods for quantitative phase image stitching.

Piotr Stȩpień1, Wojciech Krauze1, Małgorzata Kujawińska1.   

Abstract

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.
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2021        PMID: 35154849      PMCID: PMC8803031          DOI: 10.1364/BOE.439045

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  13 in total

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2.  Compensation of the inherent wave front curvature in digital holographic coherent microscopy for quantitative phase-contrast imaging.

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4.  Wide area quantitative phase microscopy by spatial phase scanning digital holography.

Authors:  Myung K Kim
Journal:  Opt Lett       Date:  2020-02-01       Impact factor: 3.776

5.  Generalized cell morphological parameters based on interferometric phase microscopy and their application to cell life cycle characterization.

Authors:  Pinhas Girshovitz; Natan T Shaked
Journal:  Biomed Opt Express       Date:  2012-06-29       Impact factor: 3.732

6.  Globally optimal stitching of tiled 3D microscopic image acquisitions.

Authors:  Stephan Preibisch; Stephan Saalfeld; Pavel Tomancak
Journal:  Bioinformatics       Date:  2009-04-03       Impact factor: 6.937

7.  Wide-field, high-resolution Fourier ptychographic microscopy.

Authors:  Guoan Zheng; Roarke Horstmeyer; Changhuei Yang
Journal:  Nat Photonics       Date:  2013-09-01       Impact factor: 38.771

8.  Label-free optical quantification of structural alterations in Alzheimer's disease.

Authors:  Moosung Lee; Eeksung Lee; JaeHwang Jung; Hyeonseung Yu; Kyoohyun Kim; Jonghee Yoon; Shinhwa Lee; Yong Jeong; YongKeun Park
Journal:  Sci Rep       Date:  2016-08-03       Impact factor: 4.379

9.  Label-free, multi-scale imaging of ex-vivo mouse brain using spatial light interference microscopy.

Authors:  Eunjung Min; Mikhail E Kandel; CheMyong J Ko; Gabriel Popescu; Woonggyu Jung; Catherine Best-Popescu
Journal:  Sci Rep       Date:  2016-12-23       Impact factor: 4.379

Review 10.  SciPy 1.0: fundamental algorithms for scientific computing in Python.

Authors:  Pauli Virtanen; Ralf Gommers; Travis E Oliphant; Matt Haberland; Tyler Reddy; David Cournapeau; Evgeni Burovski; Pearu Peterson; Warren Weckesser; Jonathan Bright; Stéfan J van der Walt; Matthew Brett; Joshua Wilson; K Jarrod Millman; Nikolay Mayorov; Andrew R J Nelson; Eric Jones; Robert Kern; Eric Larson; C J Carey; İlhan Polat; Yu Feng; Eric W Moore; Jake VanderPlas; Denis Laxalde; Josef Perktold; Robert Cimrman; Ian Henriksen; E A Quintero; Charles R Harris; Anne M Archibald; Antônio H Ribeiro; Fabian Pedregosa; Paul van Mulbregt
Journal:  Nat Methods       Date:  2020-02-03       Impact factor: 28.547

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