SBIR/STTR Research Award

Automated sectioning, imaging, and extraction of renal glomeruli for single-cell analysis

Award identifier f8cbf77fe0ba9e7ca5284ee90ab615bc526d2e82c297f63462a83b3e08db8de9Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$240,750

Program and phase

SBIR · Phase I

Award year

2018

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
3SCAN INC.
Proposal award date
2018-09-15
Contract end date
2019-08-31
UEI
MWDTN7AB1P23
Solicitation number
PA17-147
Topic code
400

Research abstract

Project Abstract Automated sectioningimagingand extraction of renal glomeruli for single cell analysisUnderstanding heterogeneous cell states is essential for studying and treating diverse diseases of the kidneyRenal glomerulim acrossare abundant but sparseand implicated in many causes of chronic kidney diseaseThe proposed method will automate the sectioningimagingand extraction of renal glomeruli with single cell resolutionThis approach will sample large populations of glomeruli from human tissue and register serial sections into digitald reconstructionsUsing this techniquethis project aims toquantify single cells in whole glomeruliidentify a panel of compatible immunostaining markersand assess the feasibility of capturing serial frozen tissue sectionsTogetherthese will validate new methods to study cell distribution and protein expression in glomerular diseaseMore broadlythis will facilitate additional automation of sectioningstainingimagingand analysis for single cell experimentsThis will enable quantitativesingle cell research in renal pathologybenefiting scientific discovery as well as the development of new treatments Project Narrative Automated sectioningimagingand extraction of renal glomeruli for single cell analysisOne in seven Americans suffers from chronic kidney diseaseCKDa leading cause of death and morbidity with limited options for early detectionThis project will develop a new approach to study the three dimensional distribution of single cells in renal glomerulimicroscopic structures that are currently difficult to studyThis will help researchers better understand causes of CKDpotentially leading to new treatments and earlier intervention

Technology keywords

Not reported

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Agency intelligence

Department of Health and Human Services

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