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 Ã 220 Ã 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.
A parallelly distributed microscope and software system for scalable high-throughput multispectral 3D imaging.
一种用于可扩展高通量多光谱 3D 成像的并行分布式显微镜和软件系统
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作者: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
| 期刊: | bioRxiv | 影响因子: | 0.000 |
| 时间: | 2025 | 起止号: | 2025 Jun 3 |
| doi: | 10.1101/2025.05.31.657163 | 研究方向: | 其它 |
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