Unlabelled: Although many methods for automated fluorescent-labeled cell detection have been proposed, not all of them assume a highly inhomogeneous background arising from complex biological structures. Here, we propose an automated cell detection algorithm that accounts for and subtracts the inhomogeneous background by avoiding high-intensity pixels in the blur filtering calculation. Cells were detected by intensity thresholding in the background-subtracted image, and the algorithm's performance was tested on NeuN- and c-Fos-stained images in the mouse prefrontal cortex and hippocampal dentate gyrus.
View Article and Find Full Text PDFAnimals sense several types of information in their environments and some of those information are stored as memories. The retention of these memories must be regulated for the animals to survive continuously changing environments. However, the mechanisms underlying memory forgetting remain to be understood, partly because psychological studies have suggested that forgetting is a passive process.
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