Centre for Cancer Cell Reprogramming and PharmaTox MIT Yes University of Oslo NITRC ANDA Yes The ANDA analysis workflow quantifies various aspects of neuronal morphology from high-throughput in-vitro live-cell imaging screens. Using ANDA, neuronal cell counts, neurite lengths, and neurite attachment points can be automated from phase-constrast neuronal differentiation images. This open-source tool is easy to use and can automatically process neuronal cell time-course measurements. ANDA can analyse images from rat, chicken and human in vitro nuronal models. 2023-7-10 Time-coure phase contrast of chicken cerebellar granule neurons (CGNs) neuronal differentiation (4 replicates E F G H) and ANDA analysis output files. License CC BY 4.0. 2023-4-28 Phase contrast of time-course of chicken cerebellar granule neurons (CGNs) neuronal differentiation (0h, 1.5h, 25.5h, 49.5h, 73.5h) acquired by IncuCyteZOOM. License CC BY 4.0. 2023-4-26 Phase contrast images of neuronally differentiating Rat PC12N cells (0h, 1.5h, 13.5h, 25.5h, 37.5h, 49.5h, 61.5h, 73.5h and 81.5h) using IncuCyteZOOM. License CC BY 4.0. 2023-4-26 Phase contrast and Weka segmented images of neuronally differentiating Human NT2N cells (0h, 30h, 60h, 90h, 120h, 150h and 190.5h) using IncuCyteS3. Lisence CC BY 4.0. ANDA Optical Imaging, MIT http://www.nitrc.org/projects/anda_neuronal/