Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells

Abstract: Storm (stochastical optical reconstruction microscopy), a form of single-molecule nanoscopy, calls for a variety of statistical and mathematical operations to reconstruct the original objects from their noisy wide-field point spread functions [1]. We are interested in understanding the d...

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Detalles Bibliográficos
Autores principales: Delmont, Ignacio, Buena Maizon, Héctor, Mosqueira, Alejo, Barrantes, Francisco José
Formato: Artículo
Lenguaje:Inglés
Publicado: Cambridge University Press 2022
Materias:
INTELIGENCIA ARTIFICIAL
PROTEINAS
NEUROTRANSMISORES
NANOSCOPIA
BIOMEDICINA
Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/14612
Aporte de:
Repositorio Institucional de la Universidad Católica Argentina (UCA) de Universidad Católica Argentina
id I33-R139-123456789-14612
record_format dspace
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Inglés
topic INTELIGENCIA ARTIFICIAL
PROTEINAS
NEUROTRANSMISORES
NANOSCOPIA
BIOMEDICINA
spellingShingle INTELIGENCIA ARTIFICIAL
PROTEINAS
NEUROTRANSMISORES
NANOSCOPIA
BIOMEDICINA
Delmont, Ignacio
Buena Maizon, Héctor
Mosqueira, Alejo
Barrantes, Francisco José
Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells
topic_facet INTELIGENCIA ARTIFICIAL
PROTEINAS
NEUROTRANSMISORES
NANOSCOPIA
BIOMEDICINA
description Abstract: Storm (stochastical optical reconstruction microscopy), a form of single-molecule nanoscopy, calls for a variety of statistical and mathematical operations to reconstruct the original objects from their noisy wide-field point spread functions [1]. We are interested in understanding the dynamics of the nicotinic acetylcholine receptor (nAChR) protein, a cell-surface neurotransmitter receptor. Analyzing the translational motion of nAChR molecules by single-particle tracking in living cells is a complex task. In order to understand how nAChR molecules associate/dissociate into/from nanometer-sized clusters over time, and to characterize their trajectories according to different mathematical models, we are developing analytical procedures based on artificial intelligence. Due to their speed of calculation and accuracy, deep learning models are clearly an improvement on classical models in biological image analysis and biomedical science.
format Artículo
author Delmont, Ignacio
Buena Maizon, Héctor
Mosqueira, Alejo
Barrantes, Francisco José
author_facet Delmont, Ignacio
Buena Maizon, Héctor
Mosqueira, Alejo
Barrantes, Francisco José
author_sort Delmont, Ignacio
title Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells
title_short Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells
title_full Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells
title_fullStr Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells
title_full_unstemmed Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells
title_sort application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells
publisher Cambridge University Press
publishDate 2022
url https://repositorio.uca.edu.ar/handle/123456789/14612
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