反褶积
显微镜
共域化
图像分辨率
分辨率(逻辑)
拉曼散射
生物分子
材料科学
纳米尺度
光学
生物物理学
拉曼光谱
物理
纳米技术
生物
计算机科学
细胞生物学
人工智能
作者
Hongje Jang,Yajuan Li,Anthony A. Fung,Pegah Bagheri,Khang Hoang,Dorota Skowronska‐Krawczyk,Xiao‐Ping Chen,Jane Y. Wu,Bogdan Bintu,Lingyan Shi
出处
期刊:Nature Methods
[Springer Nature]
日期:2023-02-16
卷期号:20 (3): 448-458
被引量:38
标识
DOI:10.1038/s41592-023-01779-1
摘要
Stimulated Raman scattering (SRS) offers the ability to image metabolic dynamics with high signal-to-noise ratio. However, its spatial resolution is limited by the numerical aperture of the imaging objective and the scattering cross-section of molecules. To achieve super-resolved SRS imaging, we developed a deconvolution algorithm, adaptive moment estimation (Adam) optimization-based pointillism deconvolution (A-PoD) and demonstrated a spatial resolution of lower than 59 nm on the membrane of a single lipid droplet (LD). We applied A-PoD to spatially correlated multiphoton fluorescence imaging and deuterium oxide (D2O)-probed SRS (DO-SRS) imaging from diverse samples to compare nanoscopic distributions of proteins and lipids in cells and subcellular organelles. We successfully differentiated newly synthesized lipids in LDs using A-PoD-coupled DO-SRS. The A-PoD-enhanced DO-SRS imaging method was also applied to reveal metabolic changes in brain samples from Drosophila on different diets. This new approach allows us to quantitatively measure the nanoscopic colocalization of biomolecules and metabolic dynamics in organelles.
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