Label-free in-vivo classification and tracking of red blood cells and platelets using Dynamic-YOLOv4 network

IF 2.3 3区 医学 Q2 OPTICS
Caizhong Guan, Bin He, Hongting Zhang, Shangpan Yang, Yang Xu, Honglian Xiong, Yaguang Zeng, Mingyi Wang, Xunbin Wei
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引用次数: 0

Abstract

In-vivo flow cytometry is a noninvasive real-time diagnostic technique that facilitates continuous monitoring of cells without perturbing their natural biological environment, which renders it a valuable tool for both scientific research and clinical applications. However, the conventional approach for improving classification accuracy often involves labeling cells with fluorescence, which can lead to potential phototoxicity. This study proposes a label-free in-vivo flow cytometry technique, called dynamic YOLOv4 (D-YOLOv4), which improves classification accuracy by integrating absorption intensity fluctuation modulation (AIFM) into YOLOv4 to demodulate the temporal features of moving red blood cells (RBCs) and platelets. Using zebrafish as an experimental model, the D-YOLOv4 method achieved average precisions (APs) of 0.90 for RBCs and 0.64 for thrombocytes (similar to platelets in mammals), resulting in an overall AP of 0.77. These scores notably surpass those attained by alternative network models, thereby demonstrating that the combination of physical models with neural networks provides an innovative approach toward developing label-free in-vivo flow cytometry, which holds promise for diverse in-vivo cell classification applications.

使用动态-YOLOv4 网络对红细胞和血小板进行无标记体内分类和跟踪
体内流式细胞术是一种无创实时诊断技术,可在不干扰细胞自然生物环境的情况下对细胞进行连续监测,因此是科学研究和临床应用的重要工具。然而,提高分类准确性的传统方法往往涉及用荧光标记细胞,这可能会导致潜在的光毒性。本研究提出了一种称为动态 YOLOv4(D-YOLOv4)的无标记活体流式细胞仪技术,通过将吸收强度波动调制(AIFM)整合到 YOLOv4 中来解调移动红细胞(RBC)和血小板的时间特征,从而提高分类准确性。以斑马鱼为实验模型,D-YOLOv4 方法对红细胞和血小板(类似于哺乳动物的血小板)的平均精确度(AP)分别达到了 0.90 和 0.64,总体精确度为 0.77。这些分数明显超过了其他网络模型所能达到的分数,从而证明物理模型与神经网络的结合为开发无标记体内流式细胞仪提供了一种创新方法,为各种体内细胞分类应用带来了希望。
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来源期刊
Journal of Innovative Optical Health Sciences
Journal of Innovative Optical Health Sciences OPTICS-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
CiteScore
4.50
自引率
20.00%
发文量
69
审稿时长
>12 weeks
期刊介绍: JIOHS serves as an international forum for the publication of the latest developments in all areas of photonics in biology and medicine. JIOHS will consider for publication original papers in all disciplines of photonics in biology and medicine, including but not limited to: -Photonic therapeutics and diagnostics- Optical clinical technologies and systems- Tissue optics- Laser-tissue interaction and tissue engineering- Biomedical spectroscopy- Advanced microscopy and imaging- Nanobiophotonics and optical molecular imaging- Multimodal and hybrid biomedical imaging- Micro/nanofabrication- Medical microsystems- Optical coherence tomography- Photodynamic therapy. JIOHS provides a vehicle to help professionals, graduates, engineers, academics and researchers working in the field of intelligent photonics in biology and medicine to disseminate information on the state-of-the-art technique.
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