Detects tissue mimics imaged with a light-sheet microscope and crops 3D sub-volume.
Team: R&D Imagerie
Institution: ITAV, Université de Toulouse, CNRS, UPS, France
Website: https://www.itav.fr/plateformes-technologiques/R-et-D-imagerie/Team: SLN - Team Loza
Institution: ICFO-Institut de Ciences Fotonique, Av. Carl Friedrich Gauss, 3, Castelldefels, 08860, Barcelona, Spain
Website: https://www.icfo.eu/lang/research/groups/groups-details?group_id=16Citation: https://doi.org/10.1038/srep44939
This protocol was designed to to automatically detect the tissue mimics, imaged in 3D with an LSFM modality, and to crop a 3D sub-volume centered on it.
This protocols takes a 3D sequence as input. To detect the tissue mimics, it blurs a rescaled version of the image, apply an automatic threshold to segment the tissue mimics from the background and use connected components to obtain one single ROI delimiting the whole tissue mimics. It then crops the original image using a rescaled version of that ROI.
Please cite Andilla et al. 2017 if you re-use this protocol or make a modified version of it. Figure below comes from the supplementals of Andilla et al., 2017. The protocol described here is the protocol P1.