Document Type
Conference Proceeding
Publication Date
2-20-2018
Abstract
In single-molecule (SM) super-resolution microscopy, the complexity of a biological structure, high molecular density, and a low signal-to-background ratio (SBR) may lead to imaging artifacts without a robust localization algorithm. Moreover, engineered point spread functions (PSFs) for 3D imaging pose difficulties due to their intricate features. We develop a Robust Statistical Estimation algorithm, called RoSE, that enables joint estimation of the 3D location and photon counts of SMs accurately and precisely using various PSFs under conditions of high molecular density and low SBR.
Recommended Citation
Mazidi, Hesam; Nehorai, Arye; and Lew, Matthew D., "A robust statistical estimation (RoSE) algorithm jointly recovers the 3D location and intensity of single molecules accurately and precisely" (2018). Electrical & Systems Engineering Publications and Presentations. 4.
https://openscholarship.wustl.edu/ese_facpubs/4
Comments
Hesam Mazidi, Arye Nehorai, Matthew D. Lew, "A robust statistical estimation (RoSE) algorithm jointly recovers the 3D location and intensity of single molecules accurately and precisely," Proc. SPIE 10500, Single Molecule Spectroscopy and Superresolution Imaging XI, 105000E (20 February 2018); doi: 10.1117/12.2289994
© 2018 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited.