Ligand Nanocluster Array Enables Artificial-Intelligence-Based Detection of Hidden Features in T-Cell Architecture

Aya Nassereddine; Ahmed Abdelrahman; Emmanuelle Benard; F. Bedu; Igor Ozerov; Laurent Limozin; Kheya Sengupta

doi:10.1021/acs.nanolett.1c01073

Journal articles

Ligand Nanocluster Array Enables Artificial-Intelligence-Based Detection of Hidden Features in T-Cell Architecture

Aya Nassereddine ^{1, 2} Ahmed Abdelrahman ^{1, 2} Emmanuelle Benard ¹ F. Bedu ¹ Igor Ozerov ¹ Laurent Limozin ² Kheya Sengupta ¹

1 CINaM - Centre Interdisciplinaire de Nanoscience de Marseille

2 LAI - Adhésion et Inflammation

Keywords : ligand nanocluster array nanopatterning electron beam lithography T-cell receptor CNN

Document type :

Journal articles

Domain :

Life Sciences [q-bio]

Physics [physics] / Physics [physics] / Biological Physics [physics.bio-ph]

Complete list of metadata

https://hal-amu.archives-ouvertes.fr/hal-03271524
Contributor : Hal Cinam <>
Submitted on : Friday, June 25, 2021 - 8:29:35 PM
Last modification on : Thursday, July 15, 2021 - 11:42:42 AM

Ligand Nanocluster Array Enables Artificial-Intelligence-Based Detection of Hidden Features in T-Cell Architecture

Identifiers

Collections

Citation

Export

Metrics

50

Ligand Nanocluster Array Enables Artificial-Intelligence-Based Detection of Hidden Features in T-Cell Architecture

Identifiers

Collections

Citation

Export

Share

Metrics

50