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Automated Digital Pathology Device for High-Throughput Demand

Summary
The National Cancer Institute (NCI) seeks licensees for an automated digital pathology device which integrates tissue sectioning, staining, and image acquisition. The device is compatible with high-throughput data analyses.
NIH Reference Number
E-084-2019
Product Type
Keywords
  • Automation, Digital Pathology, Imaging, High-throughput, Artificial Intelligence, AI, Histology, Zhuang
Collaboration Opportunity
This invention is available for licensing.
Contact
Description of Technology

Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This resulted in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used. Therefore, there is a need for automation of the techniques used in processing of pathology samples and acquisition of digital images to make them amenable with high-throughput approaches like AI analysis.

National Cancer Institute inventors are developing an automated device with integrated tissue sectioning, staining, scanning, and high-throughput capability. This device integrates pathology sample processing (e.g., sectioning, fixing, and staining) with optical scanning and digital image acquisition. This streamlines the entire process enabling high-throughput preparation of large volumes of samples and data for subsequent AI analysis. As a result of automation, the device saves time, minimizes errors, and reduces wasting reagents and supplies.

The NCI is seeking licensees to develop an automated digital pathology device compatible with high-throughput data analysis.

Potential Commercial Applications

Biopsy sample processing in pathology labs, hospitals, research labs
Applicable to diagnoses of various disease indications, including cancer and infectious diseases

Competitive Advantages

Facilitates processing and imaging of large volumes of pathology samples
Automation saves time, increases reproducibility, and minimizes errors
Compatible with high-throughput processes, e.g., AI analysis of digital pathology images and 3D reconstruction

Inventor(s)

Zhengping Zhuang MD PhD (NCI), Anthony Cappadona (NCI), Young-Won Moon M.D. (AIPATec Inc)

Development Stage
Patent Status
  • PCT: PCT Application Number US2020/023644, Filed 19 Mar 2020
Therapeutic Area
Posted
Thursday, September 23, 2021