Gazagnes, S., Soubies, E., & Blanc-Feraud, L. High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation. In 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (pp. 28-31).
The quality of the reconstructed image depends on the number of photo-activated molecules in each frame, but also on the quality of the numerical method used to locate molecules. During these 6 months, I implemented an algorithm which performs the reconstruction of the super-resolved image based on a deconvolution algorithm with a L0 regularization term to promote sparsity. More details can be found in the paper https://hal.inria.fr/hal-01443565/document.
The code can be found there: https://github.com/esoubies/SMLM-CEL0. Below are two images showing examples of super-resolved reconstruction using this method. The image in the top left corner is the image obtained using conventional microscopy.
Below, you can find an example of live reconstruction using a different data set.