Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Reduced volume of diabetic pancreatic islets in rodents detected by synchrotron X-ray phase-contrast microtomography and deep learning network

Guo, Qingqing LU ; AlKendi, Abdulla ; Jiang, Xiaoping LU ; Mittone, Alberto ; Wang, Linbo ; Larsson, Emanuel LU ; Bravin, Alberto ; Renström, Erik LU ; Fang, Xianyong and Zhang, Enming LU (2023) In Heliyon 9(2).
Abstract

The pancreatic islet is a highly structured micro-organ that produces insulin in response to rising blood glucose. Here we develop a label-free and automatic imaging approach to visualize the islets in situ in diabetic rodents by the synchrotron radiation X-ray phase-contrast microtomography (SRμCT) at the ID17 station of the European Synchrotron Radiation Facility. The large-size images (3.2 mm × 15.97 mm) were acquired in the pancreas in STZ-treated mice and diabetic GK rats. Each pancreas was dissected by 3000 reconstructed images. The image datasets were further analysed by a self-developed deep learning method, AA-Net. All islets in the pancreas were segmented and visualized by the three-dimension (3D) reconstruction. After... (More)

The pancreatic islet is a highly structured micro-organ that produces insulin in response to rising blood glucose. Here we develop a label-free and automatic imaging approach to visualize the islets in situ in diabetic rodents by the synchrotron radiation X-ray phase-contrast microtomography (SRμCT) at the ID17 station of the European Synchrotron Radiation Facility. The large-size images (3.2 mm × 15.97 mm) were acquired in the pancreas in STZ-treated mice and diabetic GK rats. Each pancreas was dissected by 3000 reconstructed images. The image datasets were further analysed by a self-developed deep learning method, AA-Net. All islets in the pancreas were segmented and visualized by the three-dimension (3D) reconstruction. After quantifying the volumes of the islets, we found that the number of larger islets (=>1500 μm3) was reduced by 2-fold (wt 1004 ± 94 vs GK 419 ± 122, P < 0.001) in chronically developed diabetic GK rat, while in STZ-treated diabetic mouse the large islets were decreased by half (189 ± 33 vs 90 ± 29, P < 0.001) compared to the untreated mice. Our study provides a label-free tool for detecting and quantifying pancreatic islets in situ. It implies the possibility of monitoring the state of pancreatic islets in vivo diabetes without labelling.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Deep learning, Diabetes, Pancreatic islets, Synchrotron radiation, X-ray microtomography, X-ray phase-contrast
in
Heliyon
volume
9
issue
2
article number
e13081
publisher
Elsevier
external identifiers
  • pmid:36718155
  • scopus:85147385232
ISSN
2405-8440
DOI
10.1016/j.heliyon.2023.e13081
language
English
LU publication?
yes
id
5edf415f-7dbc-45f5-be3a-e15c85a9bd55
date added to LUP
2023-02-21 15:37:15
date last changed
2024-04-18 12:15:36
@article{5edf415f-7dbc-45f5-be3a-e15c85a9bd55,
  abstract     = {{<p>The pancreatic islet is a highly structured micro-organ that produces insulin in response to rising blood glucose. Here we develop a label-free and automatic imaging approach to visualize the islets in situ in diabetic rodents by the synchrotron radiation X-ray phase-contrast microtomography (SRμCT) at the ID17 station of the European Synchrotron Radiation Facility. The large-size images (3.2 mm × 15.97 mm) were acquired in the pancreas in STZ-treated mice and diabetic GK rats. Each pancreas was dissected by 3000 reconstructed images. The image datasets were further analysed by a self-developed deep learning method, AA-Net. All islets in the pancreas were segmented and visualized by the three-dimension (3D) reconstruction. After quantifying the volumes of the islets, we found that the number of larger islets (=&gt;1500 μm<sup>3</sup>) was reduced by 2-fold (wt 1004 ± 94 vs GK 419 ± 122, P &lt; 0.001) in chronically developed diabetic GK rat, while in STZ-treated diabetic mouse the large islets were decreased by half (189 ± 33 vs 90 ± 29, P &lt; 0.001) compared to the untreated mice. Our study provides a label-free tool for detecting and quantifying pancreatic islets in situ. It implies the possibility of monitoring the state of pancreatic islets in vivo diabetes without labelling.</p>}},
  author       = {{Guo, Qingqing and AlKendi, Abdulla and Jiang, Xiaoping and Mittone, Alberto and Wang, Linbo and Larsson, Emanuel and Bravin, Alberto and Renström, Erik and Fang, Xianyong and Zhang, Enming}},
  issn         = {{2405-8440}},
  keywords     = {{Deep learning; Diabetes; Pancreatic islets; Synchrotron radiation; X-ray microtomography; X-ray phase-contrast}},
  language     = {{eng}},
  number       = {{2}},
  publisher    = {{Elsevier}},
  series       = {{Heliyon}},
  title        = {{Reduced volume of diabetic pancreatic islets in rodents detected by synchrotron X-ray phase-contrast microtomography and deep learning network}},
  url          = {{http://dx.doi.org/10.1016/j.heliyon.2023.e13081}},
  doi          = {{10.1016/j.heliyon.2023.e13081}},
  volume       = {{9}},
  year         = {{2023}},
}