Crick BioImage Analysis Symposium 2023

Event Status: Book now : Event date: 20 November 2023 - 21 November 2023
Start time: 10:30 End time: - 16:30
Event Location: The Francis Crick Institute
Event Type: Symposia

The Crick BioImage Analysis Symposium (CBIAS) aims to showcase image analysis techniques to biomedical researchers and to demonstrate how such approaches can help them advance their research.

The symposium will bring together life scientists and leading developers of bioimage analysis methods to illustrate how such approaches can answer defined biological questions.

The ability to routinely acquire large, multi-dimensional datasets with modern microscopy techniques is revolutionising biomedical research. In order to fully realise the benefits of such imaging technologies, automated analysis pipelines are needed, but many life scientists lack the necessary expertise to design and execute such analyses.

The key objectives of the symposium are:

Inform biomedical researchers of the possibilities that image analysis can deliver for their research
Establish links between life science researchers and image analysis experts
Foster the development of an image analysis network, with the Crick as its central hub

Registration is now open.

Abstract Submission

Abstract submission has now closed.

Please contact cbias@crick.ac.uk if you have any questions.

Programme

Symposium Start: 10:30, Monday November 20^th
Symposium Finish: 16:30, Tuesday November 21^st

CBIAS Training Workshop

On Wednesday, November 22 and Thursday 23 we will be organising a day-long introductory napari (https://napari.org) workshop. The aims of the workshop will be:
•   to introduce image analysts to napari
•   help them perform some basic analysis tasks
•   get them started with implementing plugins

Please see below for workshop programme.

This workshop is now fully booked.

Programme

09:30
Registration & Exhibition
10:30
Welcome
Dave Barry - The Francis Crick Institute
10:45
Automated alignment of multimodal images: To (deep) learn – or not?
Nataša Sladoje - Uppsala University
11:15
Style transfer and artefact-free stitching for generative AI in large multidimensional bioimages
Lucas von Chamier - Max Delbrück Center for Molecular Medicine (MDC)
11:30
CLEM-Reg: An automated point cloud based registration algorithm for correlative light and volume electron microscopy
Matouš Elphick - The Francis Crick Institute
11:45
OMERO Plus for Data Management and Image Analysis at Scale
Emil Rozbicki - Glencoe
11:55
Livecyte: Next Generation Applications
Kevin Langley - PhaseFocus
12:05
The New FV4000 Confocal – Transforming Precision Imaging with Quantitative data
Christopher Storey - Evident Scientific
12:15
Lunch & Exhibition
13:55
Development of an automated pipeline for segmentation and organelle contact analysis from Volume Electron Microscopy data
Analle Abuammar - University of Cambridge
14:10
BVSegNet: Enhancing Blood Vessel Segmentation with Attention- Based Distance Regularization
Priya Lakshmi Narayanan - Institute of Cancer Research
14:25
Why I use QuPath for lots of things (but not for everything)
Pete Bankhead - University of Edinburgh
14:55
WebAtlas pipeline for integrated single cell and spatial transcriptomic data
Tong Li - Wellcome Sanger Institute
15:10
Update from FocalPlane and Journal of Cell Science
Helen Zenner - FocalPlane
15:15
AI: From Acquisition To Analysis
Monika Pawlowska - Nikon
15:25
Microscopy Data Visualization and Analysis with Amira Software
Jan Giesebrecht - Thermo Fisher
15:35
Coffee Break
16:15
Reproducible and Scalable Bioimage Analysis
Christian Tischer - EMBL Heidelberg
16:45
The role of image analysts in institutions
Panel Discussion
Christian Tischer - EMBL Heidelber
Stefania Marcotti - King's College London
Tatiana Woller - VIB
17:30
Flash Talks
17:50
Poster Session & Drinks Reception
19:45
Evening Social

09:25
Welcome
Dave Barry - The Francis Crick Institute
09:30
Quantifying cell cycle annotation uncertainty along single-cell trajectories with human-like intuition
Kristina Ulicna - The Alan Turing Institute
10:00
ultrack: large-scale versatile cell tracking in Python under segmentation uncertainty
Jordao Bragantini - Chan Zuckerberg Biohub
10:15
(Self)supervised learning for live-cell microscopy
Martin Weigert - EPFL
10:45
WEBKNOSSOS: AI-assisted, collaborative annotation and sharing of large 3D images
Norman Rzepka - Scaleable Minds
10:50
Luxendo Image Processor: Efficient Processing of Large Light- Sheet-Microscopy Data
Jan Roden - Luxendo Bruker
10:55
Zeiss - An Update on our Current Machine Learning Solutions
Alan Kidger - Zeiss
11:05
Coffee Break
11:35
napari-morphodynamics: quantification of cellular dynamics made easy
Ana Stojiljkovic - University of Bern
11:50
Deep learning identifies antibiotic mode of action from label-free high-throughput images
Daniel Krentzel - Institut Pasteur
12:05
From Machine Learning to Deep Learning: A Case for Reproducibility in Microscopy Image Analysis
Sreenivas Bhattiprolu - Zeiss Microscopy USA
12:35
From variational modelling to deep learning for biomedical imaging
Angelica Aviles-Rivero - University of Cambridge
13:05
Accelerated AI image segmentation for Imaris
Nick Jones - Bitplane
13:10
Incucyte® SX5 Live-Cell Analysis System – See what your cells are doing and when they do it
Nicola Davis - Sartorius
13:15
Lunch & Exhibition
15:00
Making the most of your microscopy images
Beth Cimini - Broad Institute
15:30
The bigger picture: what is the future of bioimage analysis?
Panel Discussion
Beth Cimini - Broad Institute
Aybuke Kupcu Yoldas - EMBL-EBI
Norman Rzepka - Scaleable Minds
Kimberly Meechan - UCL
16:15
Concluding remarks
Dave Barry - The Francis Crick Institute
16:30
End of symposium