上海大学微电子学院
纸质出版:2025
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梁权伟, 关一民. 基于机器视觉的多通道单细胞分离方法[J]. 传感器与微系统, 2025,(2):151-154.
梁权伟, 关一民. 基于机器视觉的多通道单细胞分离方法[J]. 传感器与微系统, 2025,(2):151-154. DOI: 10.13873/J.1000-9787(2025)02-0151-04.
单细胞分离已成为单细胞分析不可或缺的工具。针对目前的单细胞分离方法效率低、无寻址性的问题,提出了在专用生物打印的微流控芯片上,采集多通道喷孔图像。利用Suzuki轮廓跟踪算法获取喷孔区域内的所有轮廓,通过对轮廓区域的面积、拟合椭圆长短轴和重心位置坐标设置阈值,识别出喷孔图像。并通过浅层卷积神经网络识别孔内单细胞。最后,将识别出的单细胞以热发泡的形式打印出来。已经证明,这种识别多通道的创新性方法用于分离单个细胞,准确率可以达到94%以上,同时,大幅提升了单细胞分离的效率,并提供单细胞可溯源性的证据。
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