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Emergence of structure in mouse embryos: structural entropy morphometry applied to digital models of embryonic anatomy

Emergence of structure in mouse embryos: structural entropy morphometry applied to digital models of embryonic anatomy
Emergence of structure in mouse embryos: structural entropy morphometry applied to digital models of embryonic anatomy
We apply an information-theoretic measure to anatomical models of the Edinburgh Mouse Atlas Project. Our goal is to quantify the anatomical complexity of the embryo and to understand how this quantity changes as the organism develops through time. Our measure, Structural Entropy, takes into account the geometrical character of the intermingling of tissue types in the embryo. It does this by a mathematical process that effectively imagines a point-like explorer that starts at an arbitrary place in the 3D structure of the embryo and takes a random path through the embryo, recording the sequence of tissues through which it passes. Consideration of a large number of such paths yields a probability distribution of paths making connections between specific tissue types, and Structural Entropy is calculated from this (mathematical details are given in the main text). We find that Structural Entropy generally decreases (order increases) almost linearly throughout developmental time (4–18 days). There is one `blip’ of increased Structural Entropy across days 7–8: this corresponds to gastrulation. Our results highlight the potential for mathematical techniques to provide insight into the development of anatomical structure, and also the need for further sources of accurate 3D anatomical data to support analyses of this kind.
0021-8782
706-715
Waites, William
a069e5ff-f440-4b89-ae81-3b58c2ae2afd
Davies, Jamie A.
059062a6-b7c6-48bc-92d0-096d1d5499e6
Waites, William
a069e5ff-f440-4b89-ae81-3b58c2ae2afd
Davies, Jamie A.
059062a6-b7c6-48bc-92d0-096d1d5499e6

Waites, William and Davies, Jamie A. (2019) Emergence of structure in mouse embryos: structural entropy morphometry applied to digital models of embryonic anatomy. Journal of Anatomy, 235 (4), 706-715. (doi:10.1111/joa.13031).

Record type: Article

Abstract

We apply an information-theoretic measure to anatomical models of the Edinburgh Mouse Atlas Project. Our goal is to quantify the anatomical complexity of the embryo and to understand how this quantity changes as the organism develops through time. Our measure, Structural Entropy, takes into account the geometrical character of the intermingling of tissue types in the embryo. It does this by a mathematical process that effectively imagines a point-like explorer that starts at an arbitrary place in the 3D structure of the embryo and takes a random path through the embryo, recording the sequence of tissues through which it passes. Consideration of a large number of such paths yields a probability distribution of paths making connections between specific tissue types, and Structural Entropy is calculated from this (mathematical details are given in the main text). We find that Structural Entropy generally decreases (order increases) almost linearly throughout developmental time (4–18 days). There is one `blip’ of increased Structural Entropy across days 7–8: this corresponds to gastrulation. Our results highlight the potential for mathematical techniques to provide insight into the development of anatomical structure, and also the need for further sources of accurate 3D anatomical data to support analyses of this kind.

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Accepted/In Press date: 21 May 2019
e-pub ahead of print date: 5 July 2019
Published date: 13 September 2019

Identifiers

Local EPrints ID: 499795
URI: http://eprints.soton.ac.uk/id/eprint/499795
ISSN: 0021-8782
PURE UUID: e82d9628-3515-42d0-93b1-6a0c73452afb
ORCID for William Waites: ORCID iD orcid.org/0000-0002-7759-6805

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Date deposited: 04 Apr 2025 16:39
Last modified: 22 Aug 2025 02:43

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Contributors

Author: William Waites ORCID iD
Author: Jamie A. Davies

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