UPDF AI

Smart Microscopy: Automation of CLEM using In situ Fluorescence Detection

L. Collinson

2019 · DOI: 10.1017/S1431927619005828
Microscopy and Microanalysis · 1 Citations

TLDR

This work links fluorescence microscopes with electron microscopes and X-ray microscopes to analyse a range of biological samples, from single cells to whole model organisms to answer scientific questions in the biological and physical sciences.

Abstract

Correlative light and electron microscopy (CLEM) combines the benefits of fluorescence and electron imaging, revealing protein localisation against the backdrop of cellular architecture. The correlative imaging field is expanding rapidly, and encompasses workflows that link many different imaging modalities, to answer scientific questions in the biological and physical sciences. We link fluorescence microscopes (widefield, confocal, super-resolution and light-sheet) with electron microscopes (scanning, transmission, serial block face and focused ion beam) [1] and X-ray microscopes (microCT and soft Xray) to analyse a range of biological samples, from single cells to whole model organisms.