id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-284045-scd3f8vk	Pape, Constantin	Microscopy-based assay for semi-quantitative detection of SARS-CoV-2 specific antibodies in human sera	2020-10-07		.txt	text/plain	5627	300	53	Here we describe the development of a semi-quantitative high-content microscopy-based assay for detection of three major classes (IgG, IgA and IgM) of SARS-CoV-2 specific antibodies in human samples. The possibility to detect antibodies against the entire viral proteome together with a robust semi-automated image analysis workflow resulted in specific, sensitive and unbiased assay which complements the portfolio of SARS-CoV-2 serological assays. The dsRNA co-localizing pattern 213 observed for sera from the negative control cohort is by definition non-specific for SARS-CoV-2, 214 but would be classified as a positive hit based on staining intensity alone. The high information content of the IF data (differential staining patterns) 363 together with a machine learning-based approach [45] and the implementation of stable cell lines 364 expressing selected viral antigens in the IF assay will provide additional parameters for 365 classification of patient sera and further improve sensitivity and specificity of the presented IF 366 assay.	./cache/cord-284045-scd3f8vk.txt	./txt/cord-284045-scd3f8vk.txt