Different computer-assisted sperm analysis (CASA) systems highly influence sperm motility parameters.
Identifieur interne : 000236 ( PubMed/Corpus ); précédent : 000235; suivant : 000237Different computer-assisted sperm analysis (CASA) systems highly influence sperm motility parameters.
Auteurs : S. Boryshpolets ; R K Kowalski ; G J Dietrich ; B. Dzyuba ; A. CiereszkoSource :
- Theriogenology [ 1879-3231 ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- instrumentation : Image Processing, Computer-Assisted.
- methods : Semen Analysis.
- veterinary : Semen Analysis.
- Animals, Fishes, Male, Sperm Motility.
Abstract
In this study, we examined different computer-assisted sperm analysis (CASA) systems (CRISMAS, Hobson Sperm Tracker, and Image J CASA) on the exact same video recordings to evaluate the differences in sperm motility parameters related to the specific CASA used. To cover a wide range of sperm motility parameters, we chose 12-second video recordings at 25 and 50 Hz frame rates after sperm motility activation using three taxonomically distinct fish species (sterlet: Acipenser ruthenus L.; common carp: Cyprinus carpio L.; and rainbow trout: Oncorhynchus mykiss Walbaum) that are characterized by essential differences in sperm behavior during motility. Systematically higher values of velocity and beat cross frequency (BCF) were observed in video recordings obtained at 50 Hz frame frequency compared with 25 Hz for all three systems. Motility parameters were affected by the CASA and species used for analyses. Image J and CRISMAS calculated higher curvilinear velocity (VCL) values for rainbow trout and common carp at 25 Hz frequency compared with the Hobson Sperm Tracker, whereas at 50 Hz, a significant difference was observed only for rainbow trout sperm recordings. No significant difference was observed between the CASA systems for sterlet sperm motility at 25 and 50 Hz. Additional analysis of 1-second segments taken at three time points (1, 6, and 12 seconds of the recording) revealed a dramatic decrease in common carp and rainbow trout sperm speed. The motility parameters of sterlet spermatozoa did not change significantly during the 12-second motility period and should be considered as a suitable model for longer motility analyses. Our results indicated that the CASA used can affect motility results even when the same motility recordings are used. These results could be critically altered by the recording quality, time of analysis, and frame rate of camera, and could result in erroneous conclusions.
DOI: 10.1016/j.theriogenology.2013.06.019
PubMed: 23932168
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Electronic address: sboryshpolets@frov.jcu.cz.</nlm:affiliation></affiliation></author><author><name sortKey="Kowalski, R K" sort="Kowalski, R K" uniqKey="Kowalski R" first="R K" last="Kowalski">R K Kowalski</name></author><author><name sortKey="Dietrich, G J" sort="Dietrich, G J" uniqKey="Dietrich G" first="G J" last="Dietrich">G J Dietrich</name></author><author><name sortKey="Dzyuba, B" sort="Dzyuba, B" uniqKey="Dzyuba B" first="B" last="Dzyuba">B. Dzyuba</name></author><author><name sortKey="Ciereszko, A" sort="Ciereszko, A" uniqKey="Ciereszko A" first="A" last="Ciereszko">A. Ciereszko</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="RBID">pubmed:23932168</idno><idno type="pmid">23932168</idno><idno type="doi">10.1016/j.theriogenology.2013.06.019</idno><idno type="wicri:Area/PubMed/Corpus">000236</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000236</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Different computer-assisted sperm analysis (CASA) systems highly influence sperm motility parameters.</title><author><name sortKey="Boryshpolets, S" sort="Boryshpolets, S" uniqKey="Boryshpolets S" first="S" last="Boryshpolets">S. Boryshpolets</name><affiliation><nlm:affiliation>University of South Bohemia in Ceske Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Research Institute of Fish Culture and Hydrobiology, Vodňany, Czech Republic. Electronic address: sboryshpolets@frov.jcu.cz.</nlm:affiliation></affiliation></author><author><name sortKey="Kowalski, R K" sort="Kowalski, R K" uniqKey="Kowalski R" first="R K" last="Kowalski">R K Kowalski</name></author><author><name sortKey="Dietrich, G J" sort="Dietrich, G J" uniqKey="Dietrich G" first="G J" last="Dietrich">G J Dietrich</name></author><author><name sortKey="Dzyuba, B" sort="Dzyuba, B" uniqKey="Dzyuba B" first="B" last="Dzyuba">B. Dzyuba</name></author><author><name sortKey="Ciereszko, A" sort="Ciereszko, A" uniqKey="Ciereszko A" first="A" last="Ciereszko">A. Ciereszko</name></author></analytic><series><title level="j">Theriogenology</title><idno type="eISSN">1879-3231</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Fishes</term><term>Image Processing, Computer-Assisted (instrumentation)</term><term>Male</term><term>Semen Analysis (methods)</term><term>Semen Analysis (veterinary)</term><term>Sperm Motility</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Image Processing, Computer-Assisted</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Semen Analysis</term></keywords><keywords scheme="MESH" qualifier="veterinary" xml:lang="en"><term>Semen Analysis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Fishes</term><term>Male</term><term>Sperm Motility</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this study, we examined different computer-assisted sperm analysis (CASA) systems (CRISMAS, Hobson Sperm Tracker, and Image J CASA) on the exact same video recordings to evaluate the differences in sperm motility parameters related to the specific CASA used. To cover a wide range of sperm motility parameters, we chose 12-second video recordings at 25 and 50 Hz frame rates after sperm motility activation using three taxonomically distinct fish species (sterlet: Acipenser ruthenus L.; common carp: Cyprinus carpio L.; and rainbow trout: Oncorhynchus mykiss Walbaum) that are characterized by essential differences in sperm behavior during motility. Systematically higher values of velocity and beat cross frequency (BCF) were observed in video recordings obtained at 50 Hz frame frequency compared with 25 Hz for all three systems. Motility parameters were affected by the CASA and species used for analyses. Image J and CRISMAS calculated higher curvilinear velocity (VCL) values for rainbow trout and common carp at 25 Hz frequency compared with the Hobson Sperm Tracker, whereas at 50 Hz, a significant difference was observed only for rainbow trout sperm recordings. No significant difference was observed between the CASA systems for sterlet sperm motility at 25 and 50 Hz. Additional analysis of 1-second segments taken at three time points (1, 6, and 12 seconds of the recording) revealed a dramatic decrease in common carp and rainbow trout sperm speed. The motility parameters of sterlet spermatozoa did not change significantly during the 12-second motility period and should be considered as a suitable model for longer motility analyses. Our results indicated that the CASA used can affect motility results even when the same motility recordings are used. These results could be critically altered by the recording quality, time of analysis, and frame rate of camera, and could result in erroneous conclusions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23932168</PMID><DateCreated><Year>2013</Year><Month>09</Month><Day>16</Day></DateCreated><DateCompleted><Year>2014</Year><Month>04</Month><Day>08</Day></DateCompleted><DateRevised><Year>2013</Year><Month>09</Month><Day>16</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-3231</ISSN><JournalIssue CitedMedium="Internet"><Volume>80</Volume><Issue>7</Issue><PubDate><Year>2013</Year><Month>Oct</Month><Day>15</Day></PubDate></JournalIssue><Title>Theriogenology</Title><ISOAbbreviation>Theriogenology</ISOAbbreviation></Journal><ArticleTitle>Different computer-assisted sperm analysis (CASA) systems highly influence sperm motility parameters.</ArticleTitle><Pagination><MedlinePgn>758-65</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.theriogenology.2013.06.019</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S0093-691X(13)00261-6</ELocationID><Abstract><AbstractText>In this study, we examined different computer-assisted sperm analysis (CASA) systems (CRISMAS, Hobson Sperm Tracker, and Image J CASA) on the exact same video recordings to evaluate the differences in sperm motility parameters related to the specific CASA used. To cover a wide range of sperm motility parameters, we chose 12-second video recordings at 25 and 50 Hz frame rates after sperm motility activation using three taxonomically distinct fish species (sterlet: Acipenser ruthenus L.; common carp: Cyprinus carpio L.; and rainbow trout: Oncorhynchus mykiss Walbaum) that are characterized by essential differences in sperm behavior during motility. Systematically higher values of velocity and beat cross frequency (BCF) were observed in video recordings obtained at 50 Hz frame frequency compared with 25 Hz for all three systems. Motility parameters were affected by the CASA and species used for analyses. Image J and CRISMAS calculated higher curvilinear velocity (VCL) values for rainbow trout and common carp at 25 Hz frequency compared with the Hobson Sperm Tracker, whereas at 50 Hz, a significant difference was observed only for rainbow trout sperm recordings. No significant difference was observed between the CASA systems for sterlet sperm motility at 25 and 50 Hz. Additional analysis of 1-second segments taken at three time points (1, 6, and 12 seconds of the recording) revealed a dramatic decrease in common carp and rainbow trout sperm speed. The motility parameters of sterlet spermatozoa did not change significantly during the 12-second motility period and should be considered as a suitable model for longer motility analyses. Our results indicated that the CASA used can affect motility results even when the same motility recordings are used. These results could be critically altered by the recording quality, time of analysis, and frame rate of camera, and could result in erroneous conclusions.</AbstractText><CopyrightInformation>Copyright © 2013 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Boryshpolets</LastName><ForeName>S</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>University of South Bohemia in Ceske Budejovice, Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Research Institute of Fish Culture and Hydrobiology, Vodňany, Czech Republic. Electronic address: sboryshpolets@frov.jcu.cz.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kowalski</LastName><ForeName>R K</ForeName><Initials>RK</Initials></Author><Author ValidYN="Y"><LastName>Dietrich</LastName><ForeName>G J</ForeName><Initials>GJ</Initials></Author><Author ValidYN="Y"><LastName>Dzyuba</LastName><ForeName>B</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Ciereszko</LastName><ForeName>A</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D023362">Evaluation Studies</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>08</Month><Day>09</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Theriogenology</MedlineTA><NlmUniqueID>0421510</NlmUniqueID><ISSNLinking>0093-691X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005399" MajorTopicYN="Y">Fishes</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007091" MajorTopicYN="N">Image Processing, Computer-Assisted</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="Y">instrumentation</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055101" MajorTopicYN="N">Semen Analysis</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName><QualifierName UI="Q000662" MajorTopicYN="Y">veterinary</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013081" MajorTopicYN="Y">Sperm Motility</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">CRISMAS</Keyword><Keyword MajorTopicYN="N">Fish spermatozoa</Keyword><Keyword MajorTopicYN="N">Hobson Sperm Tracker</Keyword><Keyword MajorTopicYN="N">Image J</Keyword><Keyword MajorTopicYN="N">Sperm velocity</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>04</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2013</Year><Month>06</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>06</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>8</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>8</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>4</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23932168</ArticleId><ArticleId IdType="pii">S0093-691X(13)00261-6</ArticleId><ArticleId IdType="doi">10.1016/j.theriogenology.2013.06.019</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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