Expanding the Limits of Computer-Assisted Sperm Analysis through the Development of Open Software

Yaniz, J. (Universidad de Zaragoza) ; Alquezar-Baeta, C. (Universidad de Zaragoza) ; Yague-Martinez, J. ; Alastruey-Benede, J. (Universidad de Zaragoza) ; Palacin, I. (Universidad de Zaragoza) ; Boryshpolets, S. ; Kholodnyy, V. ; Gadelha, H. ; Perez-Pe, R. (Universidad de Zaragoza)

Resumen: Computer assisted sperm analysis (CASA) systems can reduce errors occurring in manual analysis. However, commercial CASA systems are frequently not applicable at the forefront of challenging research endeavors. The development of open source software may offer important solutions for researchers working in related areas. Here, we present an example of this, with the development of three new modules for the OpenCASA software (hosted at Github). The first is theChemotactic Sperm Accumulation Module, a powerful tool for studying sperm chemotactic behavior, analyzing the sperm accumulation in the direct vicinity of the stimuli. This module was validated by comparing fish sperm accumulation, with or without the influence of an attractant. The analysis clearly indicated cell accumulation in the treatment group, while the distribution of sperm was random in the control group. The second is the Sperm Functionality Module, based on the ability to recognize five sperm subpopulations according to their fluorescence patterns associated with the plasma membrane and acrosomal status. The last module is the Sperm Concentration Module, which expands the utilities of OpenCASA. These last two modules were validated, using bull sperm, by comparing them with visual counting by an observer. A high level of correlation was achieved in almost all the data, and a good agreement between both methods was obtained. With these newly developed modules, OpenCASA is consolidated as a powerful free and open-source tool that allowsdifferent aspects of sperm quality to be evaluated, with many potential applications for researchers.

Idioma: Inglés

DOI: 10.3390/biology9080207

Año: 2020

Publicado en: Biology 9, 8 (2020), 207 [16 pp]
ISSN: 2079-7737

Factor impacto JCR: 5.079 (2020)

Categ. JCR: BIOLOGY rank: 16 / 93 = 0.172 (2020) - Q1 - T1

Factor impacto SCIMAGO: 1.731 - Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1) - Agricultural and Biological Sciences (miscellaneous) (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-ESF/A07-17R
Financiación: info:eu-repo/grantAgreement/ES/DGA-ESF/T58-20R
Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón
Financiación: info:eu-repo/grantAgreement/ES/MINECO-AEI-ERDF/CICYT-AGL2017-83799-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO-AEI-ERDF/CICYT-AGL-2017-85030-R
Financiación: info:eu-repo/grantAgreement/ES/MINECO-AEI-ERDF/CICYT-PID2019-105660RB-C21
Financiación: info:eu-repo/grantAgreement/ES/MINECO/BES-2017-079979

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Geometría y Topología (Dpto. Matemáticas)
Área (Departamento): Área Zoología (Dpto. Bioq.Biolog.Mol. Celular)
Área (Departamento): Área Arquit.Tecnología Comput. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Producción Animal (Dpto. Produc.Animal Cienc.Ali.)