Semi-automated

‘’’Squassh’’’ is a tool for 2D and 3D segmentation and quantification of subcellular shapes in fluorescence microscopy images. It provides globally optimal detection and segmentation of objects with constant internal intensity distribution, followed by object-based colocalization analysis. The segmentation computed by Region Competition can optionally correct for the PSF of the microscope, hence providing optimally deconvolved segmentations. Part of the mosaic suite

FLIMfit is an OMERO client-side MATLAB application for fitting and visualising time-resolved FLIM data. It supports key data formats including:

• Becker and Hickl .sdt
• LaVision BioTech .msr
• PicoQuant .bin
• OME-TIFF files;

Several options for curve fitting are available. Results can be saved back in OMERO, which also facilitates working collaboratively on the data analysis.