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URL: https://github.com/mpi2/LAMA
Proper Citation: LAMA (RRID:SCR_019133)
Description: Open source pipeline to automatically identify embryo dysmorphology from 3D volumetric images. Automated image analysis for developmental phenotyping of mouse embryos.
Synonyms: Lightweight Analysis of Morphological Abnormalities
Resource Type: data processing software, image analysis software, software resource, software application
Defining Citation: DOI:10.1101/2020.05.04.075853
Keywords: Phenotype, developmental phenotyping, MRC Harwell Institute, automatically identify embryo dysmorphology, 3D volumetric image, image screening, mouse embryo
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Source: SciCrunch Registry
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.
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