We propose to use a kernel density estimation (KDE) based approach for classification. This non-parametric approach intrinsically provides the likelihood of membership for each class in a principled manner. The implementation was used in Ghani2016. Any papers using this code should cite Ghani2016 accordingly. The software has been tested under Matlab R2013b.
FOCAL (Fast Optimized Cluster Algorithm for Localizations) is a rapid density based algorithm for detecting clusters in localization microscopy datasets.
Clus-Doc is a software that quantifies both the spatial distribution of a protein as well as its colocalization status. It may be used to quantify signaling activity and protein colocalization at the level of individual proteins.
AIR Tools is a MATLAB software package for tomographic reconstruction (and other imaging problems) consisting of a number of algebraic iterative reconstruction methods.
Quote: *A GUI-based program which manually detects spots and places them into previously detected meshes. Currently the program runs from MATLAB only. *
