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Joan Carles Puchalt

Showing results (1-10 of 11) with videos related to

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Scientific Reports|December 18, 2020
Improving skeleton algorithm for helping Caenorhabditis elegans trackersPablo E Layana Castro, Joan Carles Puchalt, Antonio-José Sánchez-Salmerón
Sensors (Basel, Switzerland)|October 27, 2020
Reducing Results Variance in Lifespan Machines: An Analysis of the Influence of Vibrotaxis on Wild-Type <i>Caenorhabditis elegans</i> for the Death CriterionJoan Carles Puchalt, Pablo E Layana Castro, Antonio-José Sánchez-Salmerón
Plos One|April 17, 2019
Active backlight for automating visual monitoring: An analysis of a lighting control technique for Caenorhabditis elegans cultured on standard Petri platesJoan Carles Puchalt, Antonio-José Sánchez-Salmerón, Patricia Martorell Guerola, et al.
Computational and Structural Biotechnology Journal|October 23, 2023
Automation of <i>Caenorhabditis elegans</i> lifespan assay using a simplified domain synthetic image-based neural network training strategyAntonio García-Garví, Pablo E Layana-Castro, Joan Carles Puchalt, et al.
Sensors (Basel, Switzerland)|August 28, 2021
<i>Caenorhabditis elegans</i> Multi-Tracker Based on a Modified Skeleton AlgorithmPablo E Layana Castro, Joan Carles Puchalt, Antonio García Garví, et al.
Biosensors|February 26, 2026
Deep Convolutional Neural Networks for Autofocus Control on a <i>C. elegans</i> Tracking SystemSantiago Escobar-Benavides, Jose-Julio Peñaranda-Jara, Joan-Carles Puchalt, et al.
Scientific Reports|June 11, 2021
Small flexible automated system for monitoring Caenorhabditis elegans lifespan based on active vision and image processing techniquesJoan Carles Puchalt, Antonio-José Sánchez-Salmerón, Eugenio Ivorra, et al.
Scientific Reports|May 28, 2020
Improving lifespan automation for Caenorhabditis elegans by using image processing and a post-processing adaptive data filterJoan Carles Puchalt, Antonio-José Sánchez-Salmerón, Eugenio Ivorra, et al.
Sensors (Basel, Switzerland)|July 24, 2021
Towards Lifespan Automation for <i>Caenorhabditis elegans</i> Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live ClassificationAntonio García Garví, Joan Carles Puchalt, Pablo E Layana Castro, et al.
Scientific Reports|March 2, 2026
Evaluating resolution requirements for subtle caenorhabditis elegans strain discrimination using classical descriptors and CNN-transformer modelsJose-Julio Peñaranda-Jara, Santiago Escobar-Benavides, Joan-Carles Puchalt, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Scientific Reports|December 18, 2020
Improving skeleton algorithm for helping Caenorhabditis elegans trackersPablo E Layana Castro, Joan Carles Puchalt, Antonio-José Sánchez-Salmerón
Sensors (Basel, Switzerland)|October 27, 2020
Reducing Results Variance in Lifespan Machines: An Analysis of the Influence of Vibrotaxis on Wild-Type <i>Caenorhabditis elegans</i> for the Death CriterionJoan Carles Puchalt, Pablo E Layana Castro, Antonio-José Sánchez-Salmerón
Plos One|April 17, 2019
Active backlight for automating visual monitoring: An analysis of a lighting control technique for Caenorhabditis elegans cultured on standard Petri platesJoan Carles Puchalt, Antonio-José Sánchez-Salmerón, Patricia Martorell Guerola, et al.
Computational and Structural Biotechnology Journal|October 23, 2023
Automation of <i>Caenorhabditis elegans</i> lifespan assay using a simplified domain synthetic image-based neural network training strategyAntonio García-Garví, Pablo E Layana-Castro, Joan Carles Puchalt, et al.
Sensors (Basel, Switzerland)|August 28, 2021
<i>Caenorhabditis elegans</i> Multi-Tracker Based on a Modified Skeleton AlgorithmPablo E Layana Castro, Joan Carles Puchalt, Antonio García Garví, et al.
Biosensors|February 26, 2026
Deep Convolutional Neural Networks for Autofocus Control on a <i>C. elegans</i> Tracking SystemSantiago Escobar-Benavides, Jose-Julio Peñaranda-Jara, Joan-Carles Puchalt, et al.
Scientific Reports|June 11, 2021
Small flexible automated system for monitoring Caenorhabditis elegans lifespan based on active vision and image processing techniquesJoan Carles Puchalt, Antonio-José Sánchez-Salmerón, Eugenio Ivorra, et al.
Scientific Reports|May 28, 2020
Improving lifespan automation for Caenorhabditis elegans by using image processing and a post-processing adaptive data filterJoan Carles Puchalt, Antonio-José Sánchez-Salmerón, Eugenio Ivorra, et al.
Sensors (Basel, Switzerland)|July 24, 2021
Towards Lifespan Automation for <i>Caenorhabditis elegans</i> Based on Deep Learning: Analysing Convolutional and Recurrent Neural Networks for Dead or Live ClassificationAntonio García Garví, Joan Carles Puchalt, Pablo E Layana Castro, et al.
Scientific Reports|March 2, 2026
Evaluating resolution requirements for subtle caenorhabditis elegans strain discrimination using classical descriptors and CNN-transformer modelsJose-Julio Peñaranda-Jara, Santiago Escobar-Benavides, Joan-Carles Puchalt, et al.
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