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 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.
Main Authors: | , , , |
---|---|
Format: | Artículo biblioteca |
Language: | eng |
Published: |
Cambridge University Press
2020
|
Subjects: | INTELIGENCIA ARTIFICIAL, PROTEINAS, NEUROTRANSMISORES, NANOSCOPIA, BIOMEDICINA, |
Online Access: | https://repositorio.uca.edu.ar/handle/123456789/14612 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
oai:ucacris:123456789-14612 |
---|---|
record_format |
koha |
spelling |
oai:ucacris:123456789-146122022-08-06T05:01:10Z Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells Delmont, Ignacio Buena Maizon, Héctor Mosqueira, Alejo Barrantes, Francisco José INTELIGENCIA ARTIFICIAL PROTEINAS NEUROTRANSMISORES NANOSCOPIA BIOMEDICINA 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. 2022-08-05T11:22:40Z 2022-08-05T11:22:40Z 2020 Artículo Delmont, I. et al. Application of artificial intelligence strategies to the analysis of neurotransmitter receptor dynamics in living cells [en línea]. Microscopy and Microanalysis. 2020, 26 (sup. 1). doi: 10.1017/S143192762000032X. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/14612 1431-9276 https://repositorio.uca.edu.ar/handle/123456789/14612 10.1017/S143192762000032X eng Acceso abierto http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Cambridge University Press Microscopy and Microanalysis. 2020, 26 (sup. 1) |
institution |
UCA |
collection |
DSpace |
country |
Argentina |
countrycode |
AR |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-uca |
tag |
biblioteca |
region |
America del Sur |
libraryname |
Sistema de bibliotecas de la UCA |
language |
eng |
topic |
INTELIGENCIA ARTIFICIAL PROTEINAS NEUROTRANSMISORES NANOSCOPIA BIOMEDICINA INTELIGENCIA ARTIFICIAL PROTEINAS NEUROTRANSMISORES NANOSCOPIA BIOMEDICINA |
spellingShingle |
INTELIGENCIA ARTIFICIAL PROTEINAS NEUROTRANSMISORES NANOSCOPIA BIOMEDICINA 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 |
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 |
topic_facet |
INTELIGENCIA ARTIFICIAL PROTEINAS NEUROTRANSMISORES NANOSCOPIA BIOMEDICINA |
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 |
2020 |
url |
https://repositorio.uca.edu.ar/handle/123456789/14612 |
work_keys_str_mv |
AT delmontignacio applicationofartificialintelligencestrategiestotheanalysisofneurotransmitterreceptordynamicsinlivingcells AT buenamaizonhector applicationofartificialintelligencestrategiestotheanalysisofneurotransmitterreceptordynamicsinlivingcells AT mosqueiraalejo applicationofartificialintelligencestrategiestotheanalysisofneurotransmitterreceptordynamicsinlivingcells AT barrantesfranciscojose applicationofartificialintelligencestrategiestotheanalysisofneurotransmitterreceptordynamicsinlivingcells |
_version_ |
1756276601708871680 |