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. 2021 Jan 12;11:603. doi: 10.1038/s41598-020-79727-8

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Live CpepSfGFP islet imaging. Flowchart of the imaging and analysis of the CpepSfGFP islets in vivo in anesthetized mice. Rapid-fire imaging allows the capture of multiple images in each position. The images are then filtered to eliminate the ones with visible motion blur and tiled to recompose a complete high-resolution view in 12 bit of the entire pancreas. The images undergo pseudo-coloring using the “Fire” lookup table (reference scale on top of the image). Background subtraction and thresholding are used to generate a mask to be used for islet identification on the original image. Each islet or small cluster of islets (defined as “objects”) can be quantified and compared over the different time points. Scale bar 1 mm.