MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain

In recent years, the wine industry has been researching how to improve wine quality along the production value chain. In this scenario, we present here a new tool, MicroVi, a cost-effective chip-sized microscopy solution to detect and count yeast cells in wine samples. We demonstrate that this novel...

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Autores: Benito-Altamirano, Ismael, Moreno, Sergio, Vaz-Romero, David M., Puig-Pujol, Anna, Roca-Domènech, Gemma, Canals, Joan, Vilà, Anna, Prades, Joan Daniel, Diéguez, Ángel
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:20.500.12327/3592
Acceso en línea:http://hdl.handle.net/20.500.12327/3592
https://doi.org/10.3390/bios15010040
Access Level:acceso abierto
Palabra clave:634
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spelling MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value ChainBenito-Altamirano, IsmaelMoreno, SergioVaz-Romero, David M.Puig-Pujol, AnnaRoca-Domènech, GemmaCanals, JoanVilà, AnnaPrades, Joan DanielDiéguez, Ángel634663/664In recent years, the wine industry has been researching how to improve wine quality along the production value chain. In this scenario, we present here a new tool, MicroVi, a cost-effective chip-sized microscopy solution to detect and count yeast cells in wine samples. We demonstrate that this novel microscopy setup is able to measure the same type of samples as an optical microscopy system, but with smaller size equipment and with automated cell count configuration. The technology relies on the top of state-of-the-art computer vision pipelines to post-process the images and count the cells. A typical pipeline consists of normalization, feature extraction (i.e., SIFT), image composition (to increase both resolution and scanning area), holographic reconstruction and particle count (i.e., Hough transform). MicroVi achieved a 2.19 µm resolution by properly resolving the G7.6 features from the USAF Resolving Power Test Target 1951. Additionally, we aimed for a successful calibration of cell counts for Saccharomyces cerevisiae. We compared our direct results with our current optical setup, achieving a linear calibration for measurements ranging from 0.5 to 50 million cells per milliliter. Furthermore, other yeast cells were qualitatively resolved with our MicroVi microscope, such as, Brettanomyces bruxellensis, or bacteria, like, Lactobacillus plantarum, thus confirming the system’s reliability for consistent microbial assessment.This work received funding from FEADER and Departament d’Acció Climàtica, Alimentació i Agenda Rural (DACC) of the Generalitat de Catalunya with grant 56 30123 2021 2A from the budget AG06D/482000100/5741/0000. This work also received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 737089 and grants PID2019-105714RB-I00 and PID2022-136833OB-C21 funded by MICIU/AEI/10.13039/501100011033 and the European Regional Development Fund.info:eu-repo/semantics/publishedVersionMDPIIndústries AlimentàriesProducció VegetalAltres Activitats2025info:eu-repo/semantics/article17http://hdl.handle.net/20.500.12327/3592https://doi.org/10.3390/bios15010040reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésBiosensorsFEADER/ / /EU/ /EC/H2020/737089/EU/Overcoming the Limits of Diffraction with Superresolution Lighting on a Chip/ChipScopeMICINN/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/PID2019-105714RB-I00/ES/Cámara CMOS basada en SPADS con histogramas analógicos integrados para medidas de resolución temporal en técnicas de microscopia emergentes de superresolución/MICINN/Programa Estatal para impulsar la investigación científico-técnica y su transferencia/PID2022-136833OB-C21/ES/Integración de Microscopios miniaturizados en dispositivos Organo en un Chip/Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:20.500.12327/35922026-05-29T05:05:01Z
dc.title.none.fl_str_mv MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain
title MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain
spellingShingle MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain
Benito-Altamirano, Ismael
634
663/664
title_short MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain
title_full MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain
title_fullStr MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain
title_full_unstemmed MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain
title_sort MicroVi: A Cost-Effective Microscopy Solution for Yeast Cell Detection and Count in Wine Value Chain
dc.creator.none.fl_str_mv Benito-Altamirano, Ismael
Moreno, Sergio
Vaz-Romero, David M.
Puig-Pujol, Anna
Roca-Domènech, Gemma
Canals, Joan
Vilà, Anna
Prades, Joan Daniel
Diéguez, Ángel
author Benito-Altamirano, Ismael
author_facet Benito-Altamirano, Ismael
Moreno, Sergio
Vaz-Romero, David M.
Puig-Pujol, Anna
Roca-Domènech, Gemma
Canals, Joan
Vilà, Anna
Prades, Joan Daniel
Diéguez, Ángel
author_role author
author2 Moreno, Sergio
Vaz-Romero, David M.
Puig-Pujol, Anna
Roca-Domènech, Gemma
Canals, Joan
Vilà, Anna
Prades, Joan Daniel
Diéguez, Ángel
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Indústries Alimentàries
Producció Vegetal
Altres Activitats
dc.subject.none.fl_str_mv 634
663/664
topic 634
663/664
description In recent years, the wine industry has been researching how to improve wine quality along the production value chain. In this scenario, we present here a new tool, MicroVi, a cost-effective chip-sized microscopy solution to detect and count yeast cells in wine samples. We demonstrate that this novel microscopy setup is able to measure the same type of samples as an optical microscopy system, but with smaller size equipment and with automated cell count configuration. The technology relies on the top of state-of-the-art computer vision pipelines to post-process the images and count the cells. A typical pipeline consists of normalization, feature extraction (i.e., SIFT), image composition (to increase both resolution and scanning area), holographic reconstruction and particle count (i.e., Hough transform). MicroVi achieved a 2.19 µm resolution by properly resolving the G7.6 features from the USAF Resolving Power Test Target 1951. Additionally, we aimed for a successful calibration of cell counts for Saccharomyces cerevisiae. We compared our direct results with our current optical setup, achieving a linear calibration for measurements ranging from 0.5 to 50 million cells per milliliter. Furthermore, other yeast cells were qualitatively resolved with our MicroVi microscope, such as, Brettanomyces bruxellensis, or bacteria, like, Lactobacillus plantarum, thus confirming the system’s reliability for consistent microbial assessment.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12327/3592
https://doi.org/10.3390/bios15010040
url http://hdl.handle.net/20.500.12327/3592
https://doi.org/10.3390/bios15010040
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Biosensors
FEADER/ / /EU/ /
EC/H2020/737089/EU/Overcoming the Limits of Diffraction with Superresolution Lighting on a Chip/ChipScope
MICINN/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/PID2019-105714RB-I00/ES/Cámara CMOS basada en SPADS con histogramas analógicos integrados para medidas de resolución temporal en técnicas de microscopia emergentes de superresolución/
MICINN/Programa Estatal para impulsar la investigación científico-técnica y su transferencia/PID2022-136833OB-C21/ES/Integración de Microscopios miniaturizados en dispositivos Organo en un Chip/
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 17
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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