ArticleScientific reports2017
A novel toolbox to investigate tissue spatial organization applied to the study of the islets of Langerhans.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Beyond the loss of beta cells: a quantitative analysis of islet architecture in adults with and without type 1 diabetes.Diabetologia · 2025Article
- Redefining clinical practice through spatial profiling: a revolution in tissue analysis.Annals of the Royal College of Surgeons of England · 2024Article
- Network approach reveals preferential T-cell and macrophage association with α-linked β-cells in early stage of insulitis in NOD mice.Frontiers in network physiology · 2024Article
- Geometric and topological characterization of the cytoarchitecture of islets of Langerhans.PLoS computational biology · 2023Article
- PyCreas: a tool for quantification of localization and distribution of endocrine cell types in the islets of Langerhans.Frontiers in endocrinology · 2023Article
- A human pancreatic ECM hydrogel optimized for 3-D modeling of the islet microenvironment.Scientific reports · 2022Article
- Methodological approaches in aggregate formation and microscopic analysis to assess pseudoislet morphology and cellular interactions.Open research Europe · 2022Article
- From Isles of Königsberg to Islets of Langerhans: Examining the Function of the Endocrine Pancreas Through Network Science.Frontiers in endocrinology · 2022Review
- Reduced synchroneity of intra-islet CaeLife · 2021Article
- Nuclei Detection for 3D Microscopy With a Fully Convolutional Regression Network.IEEE access : practical innovations, open solutions · 2021Article
- DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data.Scientific reports · 2019Article
- A novel generic dictionary-based denoising method for improving noisy and densely packed nuclei segmentation in 3D time-lapse fluorescence microscopy images.Scientific reports · 2019Article
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Authors and funding
4 authors.
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Abstract
Thanks to the development of new 3D Imaging techniques, volumetric data of thick samples, especially tissues, are commonly available. Several algorithms were proposed to analyze cells or nuclei in tissues, however these tools are limited to two dimensions. Within any given tissue, cells are not likely to be organized randomly and as such have specific patterns of cell-cell interaction forming complex communication networks. In this paper, we propose a new set of tools as an approach to segment and analyze tissues in 3D with single cell resolution. This new tool box can identify and compute the geographical location of single cells and analyze the potential physical interactions between different cell types and in 3D. As a proof-of-principle, we applied our methodology to investigation of the cyto-architecture of the islets of Langerhans in mice and monkeys. The results obtained here are a significant improvement in current methodologies and provides new insight into the organization of alpha cells and their cellular interactions within the islet's cellular framework.
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