five

TEM micrographs from human pancreatic islets derived from stem cells

收藏
DataCite Commons2025-05-19 更新2026-05-04 收录
下载链接:
https://etsin.fairdata.fi/dataset/ec2d6bef-03e2-4964-93dc-1e36ffe9cf74
下载链接
链接失效反馈
官方服务:
资源简介:
Samples from SC-islets and human islets were chemically fixed with 2.5% glutaraldehyde in 0.1 M sodium cacodylate buffer, pH 7.4, supplemented with 2 mM calcium chloride at RT, for 2 h. After washing, the specimens were osmicated in the same buffer with 1% nonreduced osmium tetroxide on ice, for 1 h. Specimens were then washed and dehydrated in increasing concentration of ethanol and acetone, before gradual embedding into Epon. After polymerization over 18 h at 60 °C, a pyramid was trimmed on the location of the embedded cells. Ultrathin, 60-nm sections were cut using an ultramicrotome, picked on Pioloform-coated single-slot grids and poststained with uranyl acetate and lead citrate. Micrographs were acquired with a Hitachi HT7800 microscope operated at 100 kV using a Rio9 CMOS-camera. One or two SC-islets were chosen randomly for examination and 11–12 SC-islet beta cells were selected for imaging on the basis of characteristic features of beta-like granules. Cells for analysis from two differentiation experiments were selected based on the characteristics features of mature granules and images for α-cells and β-cells were collected with random systematic sampling: 3-5 images per cell, 4 cells per aggregate and 5 aggregates per sample. ER morphology was evaluated from the micrographs acquired at nominal magnification of 5,000X.
提供机构:
University of Helsinki
创建时间:
2025-05-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作