Single-molecule localization microscopy(SMLM)provides nanoscale imaging,but pixel integration of acquired SMLM images limited the choice of sampling rate,which restricts the information content conveyed within each im...Single-molecule localization microscopy(SMLM)provides nanoscale imaging,but pixel integration of acquired SMLM images limited the choice of sampling rate,which restricts the information content conveyed within each image.We propose an upsampled point spread function(PSF)inverse modeling method for large-pixel singlemolecule localization,enabling precise three-dimensional superresolution imaging with a sparse sampling rate.展开更多
基金National Key Research and Development Program of China(2024YFF0726003)Shenzhen Medical Research Fund(B2302038)+8 种基金National Natural Science Foundationof China(62375116)Key,Technology Research and Development Program of Shandong Province(2021CXGC010212)Shenzhen Science and Technology Innovation Program JCYJ20220818100416036,KQTD20200820113012029)BasicandApplied Basic Research Foundation of Guangdong Province(2024A1515011565)Postdoctoral Fellowship Program of CPSF(GZC20240651)GuangdongProvincial Key Laboratory of Advanced Biomaterials(2022B1212010003)Startup Grant from Southern University of Science and TechnologyCenter for Computational Science and Engineering of Southern University of Science and Technology。
文摘Single-molecule localization microscopy(SMLM)provides nanoscale imaging,but pixel integration of acquired SMLM images limited the choice of sampling rate,which restricts the information content conveyed within each image.We propose an upsampled point spread function(PSF)inverse modeling method for large-pixel singlemolecule localization,enabling precise three-dimensional superresolution imaging with a sparse sampling rate.
