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Image analysis for Correlative Light and Electron Microscopy (CLEM)

30th November 2026 - 4th December, Francis Crick Institute

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Overview

This five-day course, aimed at researchers and core facility staff, focuses on enhancing participants’ skills in image analysis for Correlative Light and Electron Microscopy (CLEM) using open-source software and publicly available datasets. This course is run in collaboration with the Collaborative Computational Project (CCP) for Volume Electron Microscopy (CCP-volumeEM)

Registration

Registration to this workshop has now closed.

Instructors

Preparation

  1. Please remember to bring your laptop (and charger). A computer mouse will also be helpful.
  2. Ensure your laptop can connect to WiFi networks outside your host institute (eduroam would be ideal) - check with your local IT support team if you're not sure.
  3. Please install the required software before the workshop - follow the installation instructions on this page.
  4. Download the workshop data by clicking on the link to the ZIP archive at the top of this page.
  5. PLEASE CONTACT US BEFORE THE WORKSHOP IF YOU ENCOUNTER ANY DIFFICULTIES WITH ANY OF THE ABOVE.

Program

Monday, November 30th 2026
09:00 - 09:15 Registrations
09:15 - 09:30 Welcome to the course
09:30 - 11:00 Session 1

Introduction & Installations

  • Martin Jones and Stefania Marcotti
    • Who are you and why are you here?
    • What are we going to cover in the course?
    • Introduction to the virtual machines
11:00 - 11:15 Coffee Break
11:15 - 12:45 Session 2

Introduction to image analysis

  • Sara Salgueiro Torres
    • Foundational concepts
    • Traditional vs. machine learning approaches
    • Metadata and scientific reproducibility
12:45 - 13:45 Lunch
13:45 - 15:15 Session 3

Building an analysis pipeline for light microscopy data

  • Sara Salgueiro Torres and Stefania Marcotti
    • Counting and quantifying morphology of objects using Fiji
    • Quantifying fluorescence intensities using Fiji
15:15 - 15:30 Coffee Break
15:30 - 17:00 Session 4

Building an analysis pipeline for light microscopy data

  • Sara Salgueiro Torres and Stefania Marcotti
    • Extending the analysis to 3 dimensions using Fiji
Tuesday, December 1st 2026
09:30 - 11:00 Session 5

Building an analysis pipeline for light microscopy data

  • Stefania Marcotti
    • Segmenting objects using machine learning algorithms in ilastik
    • Other machine learning approaches
11:00 - 11:15 Coffee Break
11:15 - 12:45 Session 6

Building an analysis pipeline for electron microscopy data

  • Mariam Demir and Martin Jones
    • Manual segmentation using Labkit
    • Segmenting objects using machine learning algorithms in ilastik
12:45 - 13:45 Lunch
13:45 - 15:15 Session 7

Building an analysis pipeline for electron microscopy data

  • Mariam Demir and Martin Jones
    • Performing quantitative measurements
15:15 - 15:30 Coffee Break
15:30 - 17:00 Session 8

Data reuse

  • Matthew Hartley
    • Image repositories
    • Using Next Generation File Formats (NGFFs)
Wednesday, December 2nd 2026
09:30 - 11:00 Session 9

Designing scalable pipelines

  • Cameron Shand and Martin Jones
    • Implementing machine learning segmentation with AI OnDemand
    • Introducing containers
11:00 - 11:15 Coffee Break
11:15 - 12:45 Session 10

Reconstructing image volumes

  • Cameron Shand and Martin Jones
    • Opening and cropping images
    • Visualising image volumes
12:45 - 13:45 Lunch
13:45 - 15:15 Session 11

Reconstructing image volumes

  • Mariam Demir and Martin Jones
    • Stitching image volumes
15:15 - 15:30 Coffee Break
15:30 - 17:00 Session 12

Correlating image volumes across modalities

  • Daniel Krentzel
    • Image volume registration using CLEM-Reg
Thursday, December 3rd 2026
09:30 - 11:00 Session 13

Data reuse

  • Candice Roufosse
    • The science behind the course dataset
    • Alternative biological questions
11:00 - 11:15 Coffee Break
11:15 - 12:45 Session 14

Group work

12:45 - 13:45 Lunch
13:45 - 15:15 Session 15

Group work

15:15 - 15:30 Coffee Break
15:30 - 17:00 Session 16

Group work

Friday, December 4th 2026
09:30 - 11:00 Session 17

Group work

11:00 - 11:15 Coffee Break
11:15 - 12:45 Session 18

Group work

12:45 - 13:45 Lunch
13:45 - 15:15 Session 19

Final presentations from attendees

15:15 - 15:30 Coffee Break
15:30 - 17:00 Session 20

Q&A and closing remarks

Venue

The workshop will take place in the Francis Crick Institute, London, UK.

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