Challenges and opportunities of integrating imaging and mathematical modelling to interrogate biological processes.
Biophysical modelling
Multiscale
Validation
Journal
The international journal of biochemistry & cell biology
ISSN: 1878-5875
Titre abrégé: Int J Biochem Cell Biol
Pays: Netherlands
ID NLM: 9508482
Informations de publication
Date de publication:
05 2022
05 2022
Historique:
received:
16
12
2021
revised:
14
03
2022
accepted:
17
03
2022
pubmed:
28
3
2022
medline:
3
5
2022
entrez:
27
3
2022
Statut:
ppublish
Résumé
Advances in biological imaging have accelerated our understanding of human physiology in both health and disease. As these advances have developed, the opportunities gained by integrating with cutting-edge mathematical models have become apparent yet remain challenging. Combined imaging-modelling approaches provide unprecedented opportunity to correlate data on tissue architecture and function, across length and time scales, to better understand the mechanisms that underpin fundamental biology and also to inform clinical decisions. Here we discuss the opportunities and challenges of such approaches, providing literature examples across a range of organ systems. Given the breadth of the field we focus on the intersection of continuum modelling and in vivo imaging applied to the vasculature and blood flow, though our rationale and conclusions extend widely. We propose three key research pillars (image acquisition, image processing, mathematical modelling) and present their respective advances as well as future opportunity via better integration. Multidisciplinary efforts that develop imaging and modelling tools concurrently, and share them open-source with the research community, provide exciting opportunity for advancing these fields.
Identifiants
pubmed: 35339913
pii: S1357-2725(22)00040-1
doi: 10.1016/j.biocel.2022.106195
pmc: PMC9693675
pii:
doi:
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
106195Subventions
Organisme : Cancer Research UK
ID : 28276
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 29458
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S007687/1
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C44767/A29458
Pays : United Kingdom
Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
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