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  • center
  • program_project
  • nrc
  • whocc
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  • tool
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  • Assistant Professor
  • Associate Professor
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  • Clinical Research Nurse
  • Clinician Researcher
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  • Dual-education Student
  • Full Professor
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  • Lab assistant
  • Master Student
  • Non-permanent Researcher
  • Nursing Staff
  • Permanent Researcher
  • Pharmacist
  • PhD Student
  • Physician
  • Post-doc
  • Prize
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  • Research Associate
  • Research Engineer
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  • Technician
  • Undergraduate Student
  • Veterinary
  • Visiting Scientist
  • Deputy Director of Center
  • Deputy Director of Department
  • Deputy Director of National Reference Center
  • Deputy Head of Facility
  • Director of Center
  • Director of Department
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© Research
Course

Webinar sur les méthodes de colocalisation avancées (SODA) pour la NEUBIAS Academy

Scientific Fields
Diseases
Organisms
Applications
Technique
Date
14
Oct 2020
Time
14:00:00
Pasteur Institute, Rue du Docteur Roux, Paris, France
Address
2020-10-14 14:00:00 2020-10-14 18:00:00 Europe/Paris Webinar sur les méthodes de colocalisation avancées (SODA) pour la NEUBIAS Academy In this webinar from the NEUBIAS Academy @Home series, 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 […] Pasteur Institute, Rue du Docteur Roux, Paris, France Thibault Lagache thibault.lagache@pasteur.fr

In this webinar from the NEUBIAS Academy @Home series, 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.

Location

Location: Pasteur Institute, Rue du Docteur Roux, Paris, France