A second image of the sample is generated using detector data from a second microscope detector system of a different modality, and then the first labeled image is used to automatically label regions of the second image with corresponding composition information.Warschauer Reinier Louis...
The real dataset contains a total of 136 serial section optical images of polycrystalline iron with a resolution of 2800 × 1600 pixels, of which the ground truth has 2 semantic classes (grain and grain boundary) and is manually labeled by material scientists. The dataset is randomly split...
[ 24 , 25 ]; however, it requires the point-spread function of a microscope, which is measured or modeled. another way is to enhance the objects using h-dome transformation [ 26 ]; however, it might have difficulties with inhomogeneous foreground. the inhomogeneity can also be reduced with...
To evaluate the performance of the second stage network on image sequences, we first compare its performance against a naive method based on the prediction results of single images by the stage 1 network, where a sequence will be labeled as positive if at least one of its images is identifie...
This cross-sectional study describes the development of deep learning algorithms to virtually dye prostate tissue samples and evaluates the effectiveness
LikeElmbridge Meadows, theLong Beach Booksare part of a series. UnlikeElmbridge Meadows, each small book in the series depends on the others to develop a “narrative of object and space”. Each book focuses on a different location and aspect of “Long Beach”. Within and across the images,...
Images acquired on a multiphoton DIVE microscope. Astrocytes labeled with Sulforhodamine (blue); Microglia labeled with GFP (green), Neurons labeled with YFP (yellow) and bood vessels labeled with Alexa680-Dextran (red). Sample courtesy of LMF, DZNE, Germany Multicolor Deep In Vivo Imaging to...
This image is a frame grab from a video showing imaging from an adaptive optics (AO) microscope operating in two-photon excitation (TPE) mode. Imaging shows a membrane-labeled subset of neurons in the brain of a living zebrafish embryo. This image shows what one would see with adaptive opti...
The primary step in tissue cytometry is the automated distinction of individual cells (segmentation). Since cell borders are seldom labeled, cells are generally segmented by their nuclei. While tools have been developed for segmenting nuclei in two dimen
In the second pass, the pixels are relabeled using the equivalency table. Union-Find establishes one label as the root label of a tree, and the root is considered the representative label. Each pixel is then labeled with the representative label. Union-Find is therefore appropriate for represen...