Biology subjects

Zhang, H. F.

Publications and source records attributed to Zhang, H. F..

2 recordsLinked to original sources

bioRxiv2020

RainbowSTORM: An open-source ImageJ plugin for spectroscopic single-molecule localization microscopy (sSMLM) data analysis and image reconstruction

SummarySpectroscopic single-molecule localization microscopy (sSMLM) simultaneously captures the spatial locations and full spectra of stochastically emitting fluorescent single molecules. It provides an optical platform to develop new multi-molecular and functional imaging capabilities. While several open-source software suites provide sub-diffraction localization of fluorescent molecules, software suites for spectroscopic analysis of sSMLM data remain unavailable. RainbowSTORM is an open-source, user-friendly ImageJ/FIJI plugin for end-to-end spectroscopic analysis and visualization for sSMLM images. RainbowSTORM allows users to calibrate, preview, and quantitatively analyze emission spectra acquired using different reported sSMLM system designs and fluorescent labels. AvailabilityRainbowSTORM is a java plugin for ImageJ (https://imagej.net)/FIJI (http://fiji.sc) freely available through: https://github.com/FOIL-NU/RainbowSTORM. RainbowSTORM has been tested with Windows and Mac operating systems and ImageJ/FIJI version 1.52. Supplementary informationSupplementary data are available online.

bioinformatics↗

bioRxiv2019

Symmetrically-dispersed spectroscopic single-molecule localization microscopy

Spectroscopic single-molecule localization microscopy (sSMLM) achieved simultaneously imaging and spectral analysis of single molecules for the first time. Current sSMLM fundamentally suffers from reduced photon budget because of dividing photons from individual stochastic emission into spatial and spectral channels. Therefore, both spatial localization and spectral analysis only use a portion of the total photons, leading to reduced precisions in both channels. To improve the spatial and spectral precisions, we present symmetrically-dispersed sSMLM or SDsSMLM to fully utilize all photons from individual stochastic emissions in both spatial and spectral channels. SDsSMLM achieved 10-nm spatial and 0.8-nm spectral precisions at a total photon budget of 1000. Comparing with existing sSMLM using a 1:3 splitting ratio between spatial and spectral channels, SDsSMLM improved the spatial and spectral precisions by 42% and 10%, respectively, under the same photon budget. We also demonstrated multi-color imaging in fixed cells and three-dimensional single-particle tracking using SDsSMLM.

biophysics↗