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URL: https://www.synapse.org/#!Synapse:syn22345748/wiki/605339
Proper Citation: Exemplar Microscopy Images of Tissues (RRID:SCR_021052)
Description: Reference dataset of multiplexed immunofluorescence microscopy images collected at HMS Laboratory of Systems Pharmacology. Includes set of images of different types for development and benchmarking of computational methods for image processing. As of 4/2/2021, EMIT comprises tissue microarray containing cores from 34 cancer, non-neoplastic diseases, and normal tissue collected from clinical discards under IRB supervised protocol. TMA was imaged using cyclic immunofluorescence method. Additional extensions of EMIT are currently in the planning stages. Long term goal is to compose ImageNet like resource for highly multiplexed images of tissues and tumors by consolidating high quality curated datasets.
Abbreviations: EMIT
Synonyms: Exemplar Microscopy Images of Tissues ( and Tumors)
Resource Type: data set, narrative resource, 2d spatial image, data or information resource, immuno detection protocol, experimental protocol, service resource, data repository, image repository, image, image collection, immunofluorescence, storage service resource
Defining Citation: DOI:10.1101/2021.03.15.435473
Keywords: Reference dataset, multiplexed immunofluorescence microscopy images, tissue microarray, cyclic immunofluorescence, tissues images, tumors images
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
Email: info_at_ dknet.org
