Academic Journal
Automated apoptosis identification in fluorescence imaging of nucleus based on histogram of oriented gradients of high-frequency wavelet coefficients
| العنوان: | Automated apoptosis identification in fluorescence imaging of nucleus based on histogram of oriented gradients of high-frequency wavelet coefficients |
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| المؤلفون: | Shutong Liu, Limei Su, Han Sun, Tongsheng Chen, Min Hu, Zhengfei Zhuang |
| المصدر: | Journal of Innovative Optical Health Sciences, Vol 16, Iss 02 (2023) |
| بيانات النشر: | World Scientific Publishing, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Technology LCC:Optics. Light |
| مصطلحات موضوعية: | Apoptosis, nucleus, fluorescence imaging, HOG, wavelet decomposition, Technology, Optics. Light, QC350-467 |
| الوصف: | The automatic and accurate identification of apoptosis facilitates large-scale cell analysis. Most identification approaches using nucleus fluorescence imaging are based on specific morphological parameters. However, these parameters cannot completely describe nuclear morphology, thus limiting the identification accuracy of models. This paper proposes a new feature extraction method to improve the performance of the model for apoptosis identification. The proposed method uses a histogram of oriented gradient (HOG) of high-frequency wavelet coefficients to extract internal and edge texture information. The HOG vectors are classified using support vector machine. The experimental results demonstrate that the proposed feature extraction method well performs apoptosis identification, attaining [Formula: see text] accuracy with low cost in terms of time. We confirmed that our method has potential applications to cell biology research. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 17935458 1793-7205 1793-5458 |
| Relation: | https://doaj.org/toc/1793-5458; https://doaj.org/toc/1793-7205 |
| DOI: | 10.1142/S1793545822440035 |
| URL الوصول: | https://doaj.org/article/5e0a283e4226427b8679d61fb825e203 |
| رقم الانضمام: | edsdoj.5e0a283e4226427b8679d61fb825e203 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 17935458 17937205 |
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| DOI: | 10.1142/S1793545822440035 |