Influences of Microscopic Imaging Conditions on Accuracy of Cell Morphology Discrimination Using Convolutional Neural Network of Deep Learning
Abstract
:1. Introduction
2. Materials and Methods
2.1. C2C12 Cell Culture and Myotube Differentiation
2.2. Preparation of Training Data from Cell Microscopic Image Data
2.3. Cell Assessment System Using Deep Learning
2.4. Evaluation of Discrimination Accuracy for Cell Differentiation
3. Results and Discussion
3.1. Extraction of Shape Changes Owing to Myotube Differentiation of Cells
3.2. Influences of Optical Magnification and Cell Morphology in Microscopic Images on Discrimination Accuracy of Cell Discrimination
4. Conclusions
Author Contributions
Funding
Informed Consent Statement
Conflicts of Interest
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Yamamoto, M.; Miyata, S. Influences of Microscopic Imaging Conditions on Accuracy of Cell Morphology Discrimination Using Convolutional Neural Network of Deep Learning. Micromachines 2022, 13, 760. https://doi.org/10.3390/mi13050760
Yamamoto M, Miyata S. Influences of Microscopic Imaging Conditions on Accuracy of Cell Morphology Discrimination Using Convolutional Neural Network of Deep Learning. Micromachines. 2022; 13(5):760. https://doi.org/10.3390/mi13050760
Chicago/Turabian StyleYamamoto, Masashi, and Shogo Miyata. 2022. "Influences of Microscopic Imaging Conditions on Accuracy of Cell Morphology Discrimination Using Convolutional Neural Network of Deep Learning" Micromachines 13, no. 5: 760. https://doi.org/10.3390/mi13050760