毫秒
帧速率
多路复用
微流控
干涉测量
干涉显微镜
断层摄影术
光学
吞吐量
显微镜
计算机科学
帧(网络)
分辨率(逻辑)
人工智能
计算机视觉
材料科学
物理
纳米技术
电信
天文
无线
作者
Baoliang Ge,Yanping He,Mo Deng,Md Habibur Rahman,Yijin Wang,Ziling Wu,Chung Hong N. Wong,Michael K. Chan,Yi‐Ping Ho,Liting Duan,Zahid Yaqoob,Peter T. C. So,George Barbastathis,Renjie Zhou
出处
期刊:Cornell University - arXiv
日期:2022-01-01
被引量:10
标识
DOI:10.48550/arxiv.2202.03627
摘要
Three-dimensional (3D) image cytometers may significantly improve the cell analysis accuracy to facilitate biological discoveries and clinical diagnosis, but their development is curbed by the low imaging throughput. Here we report SIngle-frame LAbel-free Cell Tomography (SILACT) with diffraction-limited resolution and unprecedented imaging speed of over 10,000 volumes/second. SILACT is built on a unique interferometric microscope with angle-multiplexing illumination and a pre-trained physics-incorporating Deep Neural Network for efficient 3D Refractive Index (RI) reconstruction, from which 3D morphological and biophysical parameters of cells are extracted. With microfluidics and a high-speed camera, SILACT is capable of imaging over 20,000 cells/second and distinguishing different cell species during rapid measurements of large cell quantities, as well as visualizing shear-induced 3D transient deformation of red blood cells on a sub-millisecond scale.
科研通智能强力驱动
Strongly Powered by AbleSci AI