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VPIX Medical

The startup has developed a handheld microscope that enables real-time in-vivo imaging of tumor tissues during cancer surgery. This technology allows surgical teams to visualize cancer cells clearly, improving the accuracy of tumor resections and enhancing patient outcomes.

Daejeon, South KoreaFounded 201615200+ followers
Updated 3 months ago

Funding

$770K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Product

Problem

During cancer surgery, accurately distinguishing between cancerous and healthy tissue can be challenging, potentially leading to incomplete tumor removal or excessive removal of healthy tissue. Current methods for intraoperative tissue analysis often require time-consuming lab processing, delaying surgical decisions.

Solution

VPIX Medical offers a real-time digital biopsy platform that enables surgeons to visualize tumor tissues at the cellular level during cancer surgery. The platform utilizes a handheld microscope to provide high-resolution, in-vivo imaging of tissue microstructure, allowing for immediate assessment of tissue margins. This technology facilitates more precise tumor resection, potentially reducing the need for repeat surgeries and improving patient outcomes by ensuring complete removal of cancerous cells while preserving healthy tissue. The system aims to bridge the gap between traditional pathology and real-time surgical decision-making.

Target Audience

The primary target audience includes surgical oncologists, pathologists, and hospitals seeking to improve the precision and efficiency of cancer surgery.

Features

  • Handheld microscope for real-time, in-vivo imaging of tumor tissues
  • High-resolution visualization of cellular structures and tissue margins
  • Digital biopsy platform for intraoperative consultation
  • Compatibility with various surgical settings and organ types
  • Image analysis tools to aid in identifying cancerous cells
This profile is AI-generated and may contain inaccuracies.