ZeroCostDL4Mic: exploiting Google Colab to develop a free and open-source toolbox for Deep-Learning in microscopy
ZeroCostDL4Mic is a collection of self-explanatory Jupyter Notebooks for Google Colab that features an easy-to-use graphical user interface. They are meant to quickly get you started on learning to use deep-learning for microscopy.
BaSiC is a software tool for Background and Shading correction of Optical Microscopy Images. It implements an image correction method based on low-rank and sparse decomposition to solve both shading in space and background variation in time. It can correct temporal drift in time-lapse microscopy data and thus improve continuous single-cell quantification. BaSiC is available as a Fiji/ImageJ plugin.