A quantitative three-dimensional image analysis tool for maximal acquisition of spatial heterogeneity data

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Title: A quantitative three-dimensional image analysis tool for maximal acquisition of spatial heterogeneity data
Author(s): Allenby, MC
Misener, R
Panoskaltsis, N
Mantalaris, A
Item Type: Journal Article
Abstract: Three-dimensional (3D) imaging techniques provide spatial insight into environmental and cellular interactions and are implemented in various fields, including tissue engineering, but have been restricted by limited quantification tools that misrepresent or underutilize the cellular phenomena captured. This study develops image postprocessing algorithms pairing complex Euclidean metrics with Monte Carlo simulations to quantitatively assess cell and microenvironment spatial distributions while utilizing, for the first time, the entire 3D image captured. Although current methods only analyze a central fraction of presented confocal microscopy images, the proposed algorithms can utilize 210% more cells to calculate 3D spatial distributions that can span a 23-fold longer distance. These algorithms seek to leverage the high sample cost of 3D tissue imaging techniques by extracting maximal quantitative data throughout the captured image.
Publication Date: 9-Jan-2017
Date of Acceptance: 9-Jan-2017
ISSN: 1937-3392
Publisher: Mary Ann Liebert
Start Page: 108
End Page: 117
Journal / Book Title: Tissue Engineering Part C-Methods
Volume: 23
Issue: 2
Copyright Statement: © 2017 Mary Ann Liebert, Inc. Final publication is available from Mary Ann Liebert, Inc., publishers
Sponsor/Funder: Royal Academy Of Engineering
Commission of the European Communities
Imperial College Trust
Funder's Grant Number: 10216/118
Keywords: 3D cultures
image analysis
spatial heterogeneity
Biomedical Engineering
0601 Biochemistry And Cell Biology
0903 Biomedical Engineering
Publication Status: Published
Conference Place: United States
Appears in Collections:Faculty of Engineering
Chemical Engineering
Department of Medicine
Faculty of Medicine

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