摘要
Super-resolution structured ilumination microscopy(SR-SIM)is finding increasing application in biomedical research due to its superior ability to visualize subcellular dynamics in living cells.However,during image reconstruction artifacts can be introduced and when coupled with time-consuming postprocessing procedures,limits this technique from becoming a routine imaging tool for biologists.To address these issues,an accelerated,artifact-reduced reconstruction algorithm termed joint space frequency reconstruction-based artifact reduction algorithm(JSFR-AR-SIM)was developed by integrating a high-speed reconstruc tion framework with a high-fidelity optimization approach designed to suppress the sidelobe artifact.Consequently,JSFR-AR-SIM produces high-quality,super-resolution images with minimal artifacts,and the reconstruction speed is increased.We anticipate this algorithm to facilitate SR-SIM becoming a routine tool in biomedical laboratories.
基金
supported by the National Key Research and Development Program of China(2022YFF0712500)
the Natural Science Foundation of China(NSFC)(62135003,62005208,62205267,12204380)
the Innovation Capability Support Program of Shaanxi(program no.2021TD-57)
the Natural Science Basic Research Program of Shaanxi(2022JZ-34,2020JQ-072,2022JQ-069)
NIH grants GM144414 to P.R.B.
a Preliminary Data and Application Preparation Grant to P.R.B.and K.W.We appreciate Standard Imaging(Beijing)Biotechnology Co.Ltd for assistance with sample preparation.
