Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy (O.C.K., T.W., R.C., M.H., A.R.H.), Medical University of Vienna, Austria ...
Droplet-based methods for optical biodetection enable unprecedented high-throughput experimental parameters. The methods, however, remain underused due to the accompanying multidisciplinary and ...
Cataract is the leading cause of blindness among the elderly worldwide. Twin and family studies support an important role for genetic factors in cataract susceptibility with heritability estimates up ...
Endometrial cancer is the most common gynaecological malignancy in developed countries. Over 382,000 new cases were diagnosed worldwide in 2018, and its incidence and mortality are constantly rising ...
A major challenge in the analysis of tissue imaging data is cell segmentation, the task of identifying the precise boundary of every cell in an image. To address this problem we constructed TissueNet, ...
Predicting the expected outcome of patients diagnosed with cancer is a critical step in treatment. Advances in genomic and imaging technologies provide physicians with vast amounts of data, yet ...
Exosomes found in the circulation are a primary source of important cancer-related RNA and protein biomarkers that are expected to lead to early detection, liquid biopsy, and point-of-care diagnostic ...
This tutorial goes through all the steps involved in a fast analysis of two tissue microarrays (TMAs) stained for CD3. The intended output is a measurement of the average number of CD3-positive cells ...
One of the main uses of QuPath is for high throughput biomarker studies using Tissue Microarrays (TMAs) in cancer research. This section gives a very quick overview of the background, and as an ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results