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Lucy Collinson

Dr Lucy Collinson is an electron microscopist with a background in microbiology and cell biology. She has a degree and PhD in Medical Microbiology, and carried out post-doctoral research with Professor Colin Hopkins at the MRC Laboratory for Molecular Cell Biology (UCL) and Imperial College London, investigating membrane trafficking pathways in lysosome-related organelles in mammalian cells using light and electron microscopy as key techniques. She has run a series of biological electron microscopy facilities since 2004, at UCL and then at the Cancer Research UK London Research Institute, which became part of the new Francis Crick Institute in 2015. With a team of 10 electron microscopists and 3 physicists, she oversees more than 100 research projects with more than 60 research groups within the Crick, imaging across scales from proteins to whole organisms. Her microscopy and technology development interests include volume EM, correlative imaging techniques, cryo-microscopy, X-ray microscopy, image analysis, and microscope design and prototyping. Her group is using Citizen Science to gather hundreds of thousands of annotations of EM images to train deep machine learning algorithms to automatically recognise organelles in EM images through the Etch a Cell project on the Zooniverse platform. She is committed to open science through sharing of image data, protocols, software and hardware designs. She has co-authored more than 80 research and review papers, given more than 70 invited and keynote talks, and has sat on more than 30 international advisory boards, panels and committees in advanced imaging.

About Lucy Collinson

Scientific field: Cell biology

Microscopy background: Optical System Development, Image Analysis

Posts by Lucy Collinson

Electron microscopy: from the dark ages to a bright future

Posted by , on 21 July 2020

Good sample preparation is, as every microscopist knows, the key to delivering sound results from an imaging experiment. In the digital age, and with the advent of big data, image analysis is also critical to extract meaningful quantitative results from image data. Indeed nowadays, the microscope itself is often the most well-developed and user-friendly part