Jiang Hehai, Walker Logan A, Li Ye, Duan Bin, Niu Xiaoman, Hsieh Jung-Chien, Cheng Mou-Chi, Su Hanquan, Sheng Kuanwei, Tang Jessica P, Athukorala Kenneth, Greene Stacey, Pan Ruby, Parlapalli Arya, Yin Peng, Cui Meng, Cai Dawen
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN.
Bindley Bioscience Center, Purdue University, West Lafayette, IN.
bioRxiv. 2025 Jun 3:2025.05.31.657163. doi: 10.1101/2025.05.31.657163.
Recent advances in high throughput optical microscopy have achieved whole-organism scale imaging at diffraction-limited resolutions. Current microscopes, however, require making compromises between achieving the optimal resolution, imaging depth, multispectral capability, and data throughput due to limitations in optical design and data stream handling. We have created a parallel-line scanning confocal microscope (plSCM) which provides 1.1 Gigavoxels/second high speed imaging while achieving an optical resolution of ~180 × 220 × 650 nm with 2 millimeters of imaging depth in 3 simultaneous spectral channels. To handle such a massive imaging data stream, we have engineered a scalable network-distributed image acquisition/processing framework (SNDiF), which allows continuous capture, real-time processing, and cluster storage of petabyte-scale single image datasets in days. Together, our parallelly distributed microscope and software system presents a general solution for large-scale high-throughput and high-resolution multicolor imaging which can operate for days at a time.
高通量光学显微镜的最新进展已实现了在衍射极限分辨率下的全生物体尺度成像。然而,由于光学设计和数据流处理方面的限制,当前的显微镜需要在实现最佳分辨率、成像深度、多光谱能力和数据通量之间做出妥协。我们创建了一种平行线扫描共聚焦显微镜(plSCM),它能以1.1千兆体素/秒的速度进行高速成像,同时在3个同步光谱通道中实现约180×220×650纳米的光学分辨率以及2毫米的成像深度。为了处理如此庞大的成像数据流,我们设计了一个可扩展的网络分布式图像采集/处理框架(SNDiF),它能够在数天内对千万亿字节规模的单图像数据集进行连续捕获、实时处理和集群存储。我们的并行分布式显微镜和软件系统共同为大规模高通量和高分辨率多色成像提供了一个通用解决方案,该方案一次可运行数天。