NEUBIAS Academy is a new initiative, aimed to provide sustainable material and activities focused on Training in Bioimage Analysis. NEUBIAS Academy capitalizes on the success of 15 Training Schools (2016-2020) that have supported over 400 trainees (Early Career Scientists, Facility Staff and Bioimage Analysts), but could not satisfy the high and increasing demand (almost 1000 applicants). A team of about 20 members will interact with a larger pool of hundreds of trainers, analysts and developers to bring knowledge and bleeding-edge updates to the community.


NEUBIAS Academy @Home


A new series of online events targeting Bioimage Analysis Technology

Live online events targeting all levels in Bioimage analysis. Live Online Courses will provide interactivity with the audience (e.g. exercises in virtual breakout rooms), live Webinars will target larger audience with specific topics, software tools, theoretical content or critical updates, from introductions to concepts to very advanced implementations. Questions and Answers will be moderated by experts. Webinars will be recorded and made available on Youtube NEUBIAS Channel, and a thread per event will be opened in the image.sc Forum to report Q&As and to welcome further questions/comments.

Want to contribute? Want to suggest topics? Please write us at info@neubiasacademy.org !

The NEUBIAS Academy team:

NEUBIAS Academy @Home Webinars series in numbers, April-June 2020:

20 webinars, 10224 registrations, 16700 views on 18 recorded Youtube video


Upcoming Events

NEUBIAS Academy is back ! New Webinars from September, stay tuned !


6 October, 2020

Live Webinar

Advanced Learning,
Demo, Q&As

Open-source Software

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Advanced colocalization methods for SMLM and statistical tools for analyzing the spatial distribution of objects

6 October, 2020, 15h30-17h00 CEST (Brussels Time)

Kindly hosted by the Crick Advanced Light Microscopy (CALM)

colocSMLM

TARGET AUDIENCE

5/5

Bioimage Analysts, Facility Staff, Early Career Investigators

Ideal if you want to learn how to compute colocalization estimators for SMLM data and statistically characterize the spatial distribution of objects in bioimaging.

The Webinar will be broadcasted live with Zoom, in the form of an interactive webinar with Questions&Answers. Attendance will be limited to 3000 participants.

Questions will be live-moderated, Q&As will be further reported in a note file shared with attendants. Registered participants will receive a link to connect live. The event will be recorded for further viewing and stored on NEUBIAS Youtube Channel.

Presenter: Dr. Florian Levet, IINS (Bordeaux, France).

Dr. Thibault Lagache, Institut Pasteur (Paris, France)

Moderators, Bioimage Analysts: Rocco d’Antuono (Crick Institute), Marion Louveaux (Pasteur Institute), Daniel Sage (EPFL, Lausanne), Suvadip Mukherjee (Pasteur, Paris), Lydia Danglot (Institute of Psychiatry and Neurosciences, Paris)

In this webinar, we will first present advanced colocalization methods for analyzing SMLM data, before introducing statistical tools for analyzing the spatial distribution of objects.

Part1: By generating point clouds instead of images, SMLM has necessitated the development of dedicated colocalization methods. In the first part of the webinar, we will present several density-based methods computing colocalization estimators directly from the localization coordinates.

Part 2: The second part of the webinar will be dedicated to object-based colocalization methods, with a strong focus on robust statistical analysis. This analysis applies to any type of microscope image (from cryo-em and SMLM to widefield imaging), providing that the positions of the objects (molecules, cells…) can be estimated. 

At the end of the webinar, participants will have a good knowledge of advanced colocalization methods for analyzing SMLM data, and spatial statistics for characterizing the spatial distribution of molecular assemblies in a wide range of imaging modalities.

Basic knowledge of SMLM is a plus.

Presenters: Florian Levet and Thibault Lagache

Moderators: Lydia Danglot and Suvadip Mukherjee, Daniel Sage, Rocco D’Antuono, Anna Klemm  and Marion Louveaux


Past events: Sept 2020

Live Webinar

Introductory Learning,
Q&As

Presenter: Fabrice Cordelières (BIC, Bordeaux)

Intro to Colocalization

“Deconstructing co-localisation workflows: A journey into the black boxes”

 29 September, 2020, 15h30-17h00 CEST (Brussels Time)

Kindly hosted by the Crick Advanced Light Microscopy (CALM)

Coloc

Moderators:

Anna Klemm, Rocco d’Antuono, Marion Louveaux, Romain Guiet.

TARGET AUDIENCE

5/5

Life Scientists

Always struggling with which method you should pick (not just the one that « works ») ? This seminar is intended to make you understand what lies inside the co-loc black box.

5/5

Early Career Investigators

You’ve been asked by your PI you SHOULD do co-localization but are having a hard time understanding all this mess ? Here is a starting point.

The Webinar will be broadcasted live with Zoom, in the form of an interactive webinar with Questions&Answers. Attendance will be limited to 3000 participants.

Questions will be live-moderated, Q&As will be further reported in a note file shared with attendants. Registered participants will receive a link to connect live. The event will be recorded for further viewing and stored on NEUBIAS Youtube Channel.

Presenter: Dr. Fabrice Cordelières, Bordeaux Imaging Center, CNRS, Bordeaux, France.

Moderators, Bioimage Analysts: Anna Klemm (UUppsala), Rocco d’Antuono (Crick Institute), Marion Louveaux (Pasteur Institute) and Romain Guiet (EPFL Lausanne)

Co-localization analysis is a one of the main interest of users entering a Facility with slides in hand and nice analysis perspectives in mind. While being available through most, if not all, analysis software, co-localization tools are mainly perceived as black boxes, fed with images and excreting (the expected) numbers. A large bunch of papers have been trying to push forward one method which would perform better than all the others, losing the focus from the variety of biological problematics which may explain why so many methods exist nowadays. In this talk, we will aim at deconstructing existing generic co-localization workflows. By differentiating work-cases, identifying co-localization reporters and the metrics others have been using, we aim at providing the audience with the elementary bricks and methods to build their really own co-localization workflows.

After attending this webinar, participants will be get a better understanding of the most commonly used metric for co-localization. By getting a deeper insight of what lies behind indicators and quantifiers, they are expected to make an appropriate choice when picking a co-localization method or get new ideas to developed metrics more suited to their own problematics.

No specific prior knowledge is required.

TARGET AUDIENCE

5/5

Developers

sure you want to provide some new fancy tools to the BIA community: come and have a look at what is already in use before you draft new advanced tools.

4/5

Bioimage Analysts, Facility Staff

Looking for a way to explain to your users the magic hidden in co-localization studies ? Well, I’ve got some open-source material for you.