High-definition imaging using line-illumination modulation microscopy.
Qiuyuan ZhongAnan LiRui JinDejie ZhangXiangning LiXueyan JiaZhangheng DingPan LuoCan ZhouChenyu JiangZhao FengZhihong ZhangHui GongJing YuanQingming LuoPublished in: Nature methods (2021)
The microscopic visualization of large-scale three-dimensional (3D) samples by optical microscopy requires overcoming challenges in imaging quality and speed and in big data acquisition and management. We report a line-illumination modulation (LiMo) technique for imaging thick tissues with high throughput and low background. Combining LiMo with thin tissue sectioning, we further develop a high-definition fluorescent micro-optical sectioning tomography (HD-fMOST) method that features an average signal-to-noise ratio of 110, leading to substantial improvement in neuronal morphology reconstruction. We achieve a >30-fold lossless data compression at a voxel resolution of 0.32 × 0.32 × 1.00 μm3, enabling online data storage to a USB drive or in the cloud, and high-precision (95% accuracy) brain-wide 3D cell counting in real time. These results highlight the potential of HD-fMOST to facilitate large-scale acquisition and analysis of whole-brain high-resolution datasets.
Keyphrases
- high resolution
- big data
- high throughput
- high speed
- mass spectrometry
- artificial intelligence
- machine learning
- single molecule
- single cell
- electronic health record
- white matter
- gene expression
- tandem mass spectrometry
- resting state
- cerebral ischemia
- healthcare
- cell therapy
- social media
- air pollution
- quantum dots
- optical coherence tomography
- living cells
- label free
- brain injury
- health information