Development of a Motion-Based Cell-Counting System for Trypanosoma Parasite Using a Pattern Recognition Approach Article Swipe
Yuko Takagi
,
Hirokazu Nosato
,
Motomichi Doi
,
Koji Furukawa
,
Hidenori Sakanashi
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.2144/btn-2018-0163
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.2144/btn-2018-0163
Automated cell counters that utilize still images of sample cells are widely used. However, they are not well suited to counting slender, aggregate-prone microorganisms such as Trypanosoma cruzi. Here, we developed a motion-based cell-counting system, using an image-recognition method based on a cubic higher-order local auto-correlation feature. The software successfully estimated the cell density of dispersed, aggregated, as well as fluorescent parasites by motion pattern recognition. Loss of parasites activeness due to drug treatment could also be detected as a reduction in apparent cell count, which potentially increases the sensitivity of drug screening assays. Moreover, the motion-based approach enabled estimation of the number of parasites in a co-culture with host mammalian cells, by disregarding the presence of the host cells as a static background.
Related Topics
Concepts
Trypanosoma cruzi
Biological system
Artificial intelligence
Biology
Feature (linguistics)
Motion (physics)
Pattern recognition (psychology)
Cell counting
Computer vision
Cell
Parasite hosting
Sensitivity (control systems)
Cell biology
Computer science
Computational biology
Genetics
Engineering
Electronic engineering
Linguistics
Cell cycle
World Wide Web
Philosophy
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2144/btn-2018-0163
- https://www.future-science.com/doi/pdf/10.2144/btn-2018-0163
- OA Status
- gold
- Cited By
- 7
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2904579845
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2904579845Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2144/btn-2018-0163Digital Object Identifier
- Title
-
Development of a Motion-Based Cell-Counting System for Trypanosoma Parasite Using a Pattern Recognition ApproachWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-12-13Full publication date if available
- Authors
-
Yuko Takagi, Hirokazu Nosato, Motomichi Doi, Koji Furukawa, Hidenori SakanashiList of authors in order
- Landing page
-
https://doi.org/10.2144/btn-2018-0163Publisher landing page
- PDF URL
-
https://www.future-science.com/doi/pdf/10.2144/btn-2018-0163Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.future-science.com/doi/pdf/10.2144/btn-2018-0163Direct OA link when available
- Concepts
-
Trypanosoma cruzi, Biological system, Artificial intelligence, Biology, Feature (linguistics), Motion (physics), Pattern recognition (psychology), Cell counting, Computer vision, Cell, Parasite hosting, Sensitivity (control systems), Cell biology, Computer science, Computational biology, Genetics, Engineering, Electronic engineering, Linguistics, Cell cycle, World Wide Web, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3, 2021: 3Per-year citation counts (last 5 years)
- References (count)
-
12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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