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Automated analysis of human cardiomyocytes dynamics with holographic image-based tracking for cardiotoxicity screening

Article
Automated analysis of human cardiomyocytes dynamics with holographic image-based tracking for cardiotoxicity screening
  • Ahamadzadeh, Ezat ; 
  • Jaferzadeh, Keyvan ; 
  • Park, Seonghwan ; 
  • Son, Seungwoo ; 
  • Moon, Inkyu
  • 2022-01
  • Ahamadzadeh, Ezat. (2022-01). Automated analysis of human cardiomyocytes dynamics with holographic image-based tracking for cardiotoxicity screening. Biosensors and Bioelectronics, 195. doi: 10.1016/j.bios.2021.113570
  • Elsevier
  • View : 679
  • Download : 41

Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening

Article
Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening
  • Moon, Inkyu ; 
  • Ahmadzadeh, Ezat ; 
  • Kim, Youhyun ; 
  • Rappaz, Benjamin ; 
  • Turcatti, Gerardo
  • 2025-02
  • Moon, Inkyu. (2025-02). Automated fast label-free quantification of cardiomyocyte dynamics with raw holograms for cardiotoxicity screening. Biomedical Optics Express, 16(2), 398–414. doi: 10.1364/BOE.542362
  • The Optical Society
  • View : 265
  • Download : 54
Article
Automated phenotypic analysis and classification of drug-treated cardiomyocytes via synergized time-lapse holographic imaging and deep learning
  • Ahmadzadeh, Ezat ; 
  • Park, Seonghwan ; 
  • Kim, Youhyun ; 
  • Moon, Inkyu
  • 2025-09
  • Ahmadzadeh, Ezat. (2025-09). Automated phenotypic analysis and classification of drug-treated cardiomyocytes via synergized time-lapse holographic imaging and deep learning. Computer Methods and Programs in Biomedicine, 269. doi: 10.1016/j.cmpb.2025.108890
  • Elsevier
  • View : 277
  • Download : 0

Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural network

Article
Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural network
  • Ahmadzadeh, Ezat ; 
  • Jaferzadeh, Keyvan ; 
  • Shin, Seokjoo ; 
  • Moon, Inkyu
  • 2020-03
  • Ahmadzadeh, Ezat. (2020-03). Automated single cardiomyocyte characterization by nucleus extraction from dynamic holographic images using a fully convolutional neural network. Biomedical Optics Express, 11(3), 1501–1516. doi: 10.1364/BOE.385218
  • The Optical Society
  • View : 780
  • Download : 168
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