Documentation for deconSTORM software

This software is provided as supplementary material for the publication, "Statistical Deconvolution for Super-Resolution Fluorescence Microscopy," by Eran A. Mukamel, Hazen Babcock and Xiaowei Zhuang, Biophysical Journal (2012). Please see the paper for a full explanation of the method.

Matlab files in this directory:

demo_deconSTORM_microtubules	Demo script for deconSTORM, using example fluorescence data from imaging microtubules.
demo_deconSTORM_simulatedarrow	Demo script for deconSTORM, using simulated fluorescence data.
deconSTORM_Conv	`[sample_est_mean, sample_est_frames, sample_est_hist, saved_iterations] = deconSTORM_Conv(mov, APSF, r, niter, iter_step, alpha, beta, gfactor, fileout, verbose)`
deconSTORM_Matrix	`[sample_est_mean, sample_est_frames, sample_est_hist, saved_iterations] = deconSTORM_Matrix(mov, APSF, r, niter, iter_step, alpha, beta, gfactor, fileout, verbose)`
deconSTORM_prepareAPSF	`APSF = deconSTORM_prepareAPSF(sigma,Npixels,npixels)`
deconSTORM_preparePSF	`PSF = deconSTORM_preparePSF(sigma,Npixels,npixels)`

Other Matlab-specific files in this directory:

deconSTORM_microtubuledata.mat - Example microtubule fluorescence data
deconSTORM_simulatedarrowdata.mat - Example simulated fluorescence data

contact: eran at post dot harvard dot edu