한빛사논문
Hongje Jang 1, Yajuan Li1, Anthony A. Fung1, Pegah Bagheri 1, Khang Hoang1, Dorota Skowronska-Krawczyk 2, Xiaoping Chen3, Jane Y. Wu3, Bogdan Bintu1 & Lingyan Shi 1
1Shu Chien - Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
2School of Medicine, University of California, Irvine, CA, USA.
3The Ken and Ruth Davee Department of Neurology, Northwestern University, Chicago, IL, USA.
Corresponding author : Correspondence to Lingyan Shi.
Abstract
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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