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Performance Comparison of Five Methods for Tetrahymena Number Counting on the ImageJ Platform: Assessing the Built-in Tool and Machine-Learning-Based Extension.
Kurnia, Kevin Adi; Sampurna, Bonifasius Putera; Audira, Gilbert; Juniardi, Stevhen; Vasquez, Ross D; Roldan, Marri Jmelou M; Tsao, Che-Chia; Hsiao, Chung-Der.
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  • Kurnia KA; Department of Bioscience Technology, Chung Yuan Christian University, Chung-Li 320314, Taiwan.
  • Sampurna BP; Department of Chemistry, Chung Yuan Christian University, Chung-Li 320314, Taiwan.
  • Audira G; Department of Bioscience Technology, Chung Yuan Christian University, Chung-Li 320314, Taiwan.
  • Juniardi S; Department of Bioscience Technology, Chung Yuan Christian University, Chung-Li 320314, Taiwan.
  • Vasquez RD; Department of Chemistry, Chung Yuan Christian University, Chung-Li 320314, Taiwan.
  • Roldan MJM; Department of Bioscience Technology, Chung Yuan Christian University, Chung-Li 320314, Taiwan.
  • Tsao CC; Department of Pharmacy, Faculty of Pharmacy, University of Santo Tomas, Manila 1015, Philippines.
  • Hsiao CD; Research Center for the Natural and Applied Sciences, University of Santo Tomas, Manila 1015, Philippines.
Int J Mol Sci ; 23(11)2022 May 26.
Article en En | MEDLINE | ID: mdl-35682689
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tetrahymena Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Tetrahymena Idioma: En Revista: Int J Mol Sci Año: 2022 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Suiza