Computer methods for determining Mnemiopsis leidyi motility characteristics
The paper considers capacities of common computer programs for analyzing the behavioral reactions to light of ctenophores, marine planktonic animals, under laboratory conditions. We showed that most image analysis programs do not automatically determine body contours of translucent objects, such as...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS
2022-11-01
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| Series: | Морской биологический журнал |
| Subjects: | |
| Online Access: | https://marine-biology.ru/mbj/article/view/364 |
| _version_ | 1797242796177883136 |
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| author | Iu. S. Baiandina O. N. Kuleshova |
| author_facet | Iu. S. Baiandina O. N. Kuleshova |
| author_sort | Iu. S. Baiandina |
| collection | DOAJ |
| description |
The paper considers capacities of common computer programs for analyzing the behavioral reactions to light of ctenophores, marine planktonic animals, under laboratory conditions. We showed that most image analysis programs do not automatically determine body contours of translucent objects, such as ctenophores. We developed a new method for determining basic motility characteristics of Mnemiopsis leidyi using ImageJ, Davinci Resolve video filters, and scripts written by the us. The developed method allows automatic calculating of such parameters as average and maximum speed, changes in direction of movement (locomotion vectors), and the percentage of time animals spend in certain regions of interest (ROI). The average speed of ctenophore movement was estimated in millimeter scale with high precision. The method is applicable for studying the behavior of various translucent marine animals. Computer scripts are available by request from the authors.
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| first_indexed | 2024-04-24T18:44:55Z |
| format | Article |
| id | doaj.art-1873d04bc0aa49ed962e2760183679da |
| institution | Directory Open Access Journal |
| issn | 2499-9768 2499-9776 |
| language | English |
| last_indexed | 2024-04-24T18:44:55Z |
| publishDate | 2022-11-01 |
| publisher | A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS |
| record_format | Article |
| series | Морской биологический журнал |
| spelling | doaj.art-1873d04bc0aa49ed962e2760183679da2024-03-27T06:55:37ZengA. O. Kovalevsky Institute of Biology of the Southern Seas of RASМорской биологический журнал2499-97682499-97762022-11-017410.21072/mbj.2022.07.4.01Computer methods for determining Mnemiopsis leidyi motility characteristicsIu. S. Baiandina0O. N. Kuleshova1A. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, Sevastopol, Russian FederationA. O. Kovalevsky Institute of Biology of the Southern Seas of RAS, Sevastopol, Russian Federation The paper considers capacities of common computer programs for analyzing the behavioral reactions to light of ctenophores, marine planktonic animals, under laboratory conditions. We showed that most image analysis programs do not automatically determine body contours of translucent objects, such as ctenophores. We developed a new method for determining basic motility characteristics of Mnemiopsis leidyi using ImageJ, Davinci Resolve video filters, and scripts written by the us. The developed method allows automatic calculating of such parameters as average and maximum speed, changes in direction of movement (locomotion vectors), and the percentage of time animals spend in certain regions of interest (ROI). The average speed of ctenophore movement was estimated in millimeter scale with high precision. The method is applicable for studying the behavior of various translucent marine animals. Computer scripts are available by request from the authors. https://marine-biology.ru/mbj/article/view/364Mnemiopsis leidyictenophoremigrationmotility characteristicsimage analysis toolsImageJ |
| spellingShingle | Iu. S. Baiandina O. N. Kuleshova Computer methods for determining Mnemiopsis leidyi motility characteristics Морской биологический журнал Mnemiopsis leidyi ctenophore migration motility characteristics image analysis tools ImageJ |
| title | Computer methods for determining Mnemiopsis leidyi motility characteristics |
| title_full | Computer methods for determining Mnemiopsis leidyi motility characteristics |
| title_fullStr | Computer methods for determining Mnemiopsis leidyi motility characteristics |
| title_full_unstemmed | Computer methods for determining Mnemiopsis leidyi motility characteristics |
| title_short | Computer methods for determining Mnemiopsis leidyi motility characteristics |
| title_sort | computer methods for determining mnemiopsis leidyi motility characteristics |
| topic | Mnemiopsis leidyi ctenophore migration motility characteristics image analysis tools ImageJ |
| url | https://marine-biology.ru/mbj/article/view/364 |
| work_keys_str_mv | AT iusbaiandina computermethodsfordeterminingmnemiopsisleidyimotilitycharacteristics AT onkuleshova computermethodsfordeterminingmnemiopsisleidyimotilitycharacteristics |