Related Experiment Video
Updated: Jul 6, 2026

Test Samples for Optimizing STORM Super-Resolution Microscopy
Published on: September 6, 2013
Impact of measurement precision and noise on superresolution image reconstruction
Sally L Wood1, Shu-Ting Lee, Gao Yang
1Department of Electrical Engineering, Santa Clara University, Santa Clara, California 95053, USA. swood@scu.edu
Abstract:
The performance of uniform and nonuniform detector arrays for application to the PANOPTES (processing arrays of Nyquist-limited observations to produce a thin electro-optic sensor) flat camera design is analyzed for measurement noise environments including quantization noise and Gaussian and Poisson processes. Image data acquired from a commercial camera with 8 bit and 14 bit output options are analyzed, and estimated noise levels are computed. Noise variances estimated from the measurement values are used in the optimal linear estimators for superresolution image reconstruction.
More Related Videos
Related Concept Videos
Uncertainty in Measurement: Accuracy and Precision
Super-resolution Fluorescence Microscopy
Aliasing
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Accuracy and Precision
Accuracy and Precision
NMR Spectrometers: Resolution and Error Correction

