Deep Label-Free Cell Imaging of Liquid Biopsies for Cancer Monitoring

Develop and commercialize a label-free interferometric phase microscopy device with AI for cost-effective cancer diagnosis and monitoring via liquid biopsies.

Subsidie
€ 150.000
2023

Projectdetails

Introduction

We will develop and commercialize an innovative device for diagnosis and monitoring of cancer in liquid biopsies based on a label-free interferometric phase microscopy (IPM) unit, coupled with dedicated real-time artificial intelligence (AI) for cell classification.

Objectives

This device will materialize an innovative approach for the much-anticipated imaging flow cytometry, dramatically decreasing its costs and improving patient care by accurate monitoring of cancer in the clinical lab from a simple lab test (liquid biopsy).

Key Aspects

The success of the project is dependent on four high-risk/high-gain aspects:

  1. Building the first clinical IPM device.
  2. Designing and manufacturing a disposable microfluidic device for imaging flow cytometry.
  3. Obtaining high-enough acquisition and processing throughput in imaging flow cytometry of urine samples.
  4. Training a deep neural network to detect cancer cells based on the information-deep label-free IPM images of cancer cells during flow.

Background

The proposed PoC project stems from my ongoing ERC StG project that focuses on the application of IPM for grading the metastatic potential of cancer cells, as a basic-science research tool.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 150.000
Totale projectbegroting€ 150.000

Tijdlijn

Startdatum1-1-2023
Einddatum31-12-2024
Subsidiejaar2023

Partners & Locaties

Projectpartners

  • TEL AVIV UNIVERSITYpenvoerder

Land(en)

Israel

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