SBIR/STTR Research Award

Ultra High Content Analysis UHCA of Single Cells in Tissue channel immunofluorescence labeling kits and companion imaging software for everyone

Award identifier 46d0699e7ff556fe76a2c677d74749db6ca3d6833d507f1352cc0c33ceae947bAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$224,791

Program and phase

SBIR · Phase I

Award year

2017

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
QUANTITATIVE IMAGING SYSTEMS LLC
Proposal award date
2017-09-21
Contract end date
2018-08-31
UEI
K5ELZZPK73V9
Solicitation number
PA16-302
Topic code
102

Research abstract

We propose to create a modular suite of products that will make highly multiplexed imaging of individual cells in intact tissue available to a wide range of laboratories through validated labeling kits and companion imaging software that promotes discovery through interactive image and data visualization Our goal is to create a suite of integrated labeling display and analysis products to elucidate patterns of disease mechanisms in tissue which is not possible using current methods To ensure this goal we have established a close partnership with Oregon Health Science University OHSU and the commitment of a strong group of collaborators in the cancer research community We have developed a novel cycIF technology based on antibody conjugated oligonucleotides Ab oligos Briefly a single stranded oligo docking strand DS is conjugated to the primary antibody which can be hybridized to a complementary single stranded oligo imaging strand IS conjugated to a conventional fluorophore Each DS IS pair was designed to contain a restriction enzyme RE site for selective removal of fluorescence permitting cycles of re staining and imaging Currently little functionality exists to optimally extract the wealth of information in biomarker channel images We introduce a novel tool that can dynamically visualize such images take advantage of the many channels for better cell segmentation even in complex tissue and automatically correct and register the multiple cycles In Phase I a prototype of the imaging system will be built and tested with a subset of labels Upon confirming feasibility Phase II will focus on the creation of specific kits and software products in close harmony between biochemistry software and research needs We propose to create a modular suite of products that will make highly multiplexed imaging of individual cells in intact tissue available to a wide range of laboratories Our goal is to create a suite of integrated labeling display and analysis products to elucidate patterns of disease mechanisms in tissue which is not possible using current methods which should help lead to more effectively strategies for therapy

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

5 SBIR/STTR records share this UEI (2017–2022). Reported award amounts total $4,038,044. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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