HDR: Mohamed El Beheiry - Research - Institut Pasteur

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Nursing Staff
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Research Engineer
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Technician
Undergraduate Student
Veterinary
Visiting Scientist

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Deputy Director of Department
Deputy Director of National Reference Center
Deputy Head of Facility
Director of Center
Director of Department
Director of Institute
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Group Leader
Head of Facility
Head of Operations
Head of Structure
Honorary President of the Departement
Labex Coordinator

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BCI & Microbiology joint seminar – “Spread fast and strike hard: Surface colonization by a human pathogen revisited”

Le 4xQuart d’heure Pasteur – Médecine :

Scientific Fields

Diseases

Organisms

Applications

Technique

Date

29

Feb 2024

Time

14:00:00

28 Rue du Docteur Roux, Paris, France

Address

Building: Amphitheatre DUCLAUX

Location

2024-02-29 14:00:00 2024-02-29 17:00:00 Europe/Paris HDR: Mohamed El Beheiry The emergence of new display technologies, analyses and data types encourages the need within scientific and medical communities to streamline the interpretation of multidimensional visual data such as point clouds (\eg localization microscopy, single-particle […] 28 Rue du Docteur Roux, Paris, France Jean-Baptiste Masson jean-baptiste.masson@pasteur.fr

Speakers

Mohamed El Beheiry

(Institut Pasteur, Paris)

About

The emergence of new display technologies, analyses and data types encourages the need within scientific and medical communities to streamline the interpretation of multidimensional visual data such as point clouds (\eg localization microscopy, single-particle tracking) and image stacks (\eg confocal microscopy, computed tomography and magnetic resonance imaging). Visual data stakeholders require interactive and adapted means for understanding their data. For this reason, despite the consequential progress of automated algorithms, manual intervention — to different degrees — remains a critical step for data interpretation. Interpretation frameworks meet the needs of users by providing an ensemble of tools, functions and visual readouts to grant insights of the data under study. Ultimately, the end of goal is to validate or invalidate hypotheses and, in so doing, inform decisions being made.

This thesis surveys multiple data interpretation frameworks, with corresponding case studies, where the user intervenes in \textit{human-in-the-loop}-inspired configurations. The discussed tools encompass advanced 3D visualization, virtual reality, Bayesian inference and one-shot learning. Prospective research and development topics to expand the uses, accessibility and performance of these frameworks in scientific and clinical settings are discussed.

Partners

Location

Building: Amphitheatre DUCLAUX
Address: 28 Rue du Docteur Roux, Paris, France

Published on: 07 Feb 2024

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