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.
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:
- Building the first clinical IPM device.
- Designing and manufacturing a disposable microfluidic device for imaging flow cytometry.
- Obtaining high-enough acquisition and processing throughput in imaging flow cytometry of urine samples.
- 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
Startdatum | 1-1-2023 |
Einddatum | 31-12-2024 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- TEL AVIV UNIVERSITYpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
MANUNKIND: Determinants and Dynamics of Collaborative ExploitationThis project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery. | ERC STG | € 1.497.749 | 2022 | Details |
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressureThe UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance. | ERC STG | € 1.498.280 | 2022 | Details |
Uncovering the mechanisms of action of an antiviral bacteriumThis project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function. | ERC STG | € 1.500.000 | 2023 | Details |
The Ethics of Loneliness and SociabilityThis project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field. | ERC STG | € 1.025.860 | 2023 | Details |
MANUNKIND: Determinants and Dynamics of Collaborative Exploitation
This project aims to develop a game theoretic framework to analyze the psychological and strategic dynamics of collaborative exploitation, informing policies to combat modern slavery.
Elucidating the phenotypic convergence of proliferation reduction under growth-induced pressure
The UnderPressure project aims to investigate how mechanical constraints from 3D crowding affect cell proliferation and signaling in various organisms, with potential applications in reducing cancer chemoresistance.
Uncovering the mechanisms of action of an antiviral bacterium
This project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function.
The Ethics of Loneliness and Sociability
This project aims to develop a normative theory of loneliness by analyzing ethical responsibilities of individuals and societies to prevent and alleviate loneliness, establishing a new philosophical sub-field.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Fully automated cell-free DNA extraction and quantification - liquid biopsies safely from Patient to LabBiopSense aims to develop and validate a fully automated disposable cartridge for cfDNA extraction from blood, enhancing reliability and transport ease for cancer diagnostics and prenatal screening. | EIC Transition | € 2.500.000 | 2022 | Details |
Chemometric histopathology via coherent Raman imaging for precision medicineThe CHARM project aims to revolutionize cancer diagnosis with a novel AI-integrated, label-free tissue analysis system, achieving high accuracy in tumor identification and classification. | EIC Transition | € 2.441.979 | 2022 | Details |
On-chip tomographic microscopy: a paraDIgm Shift for RevolUtionizing lab-on-a-chiP bioimaging technologyDISRUPT aims to revolutionize biomedical imaging with a novel lab-on-chip technology for cost-effective, high-resolution cancer detection and diagnostics using integrated tomographic microscopy and AI. | EIC Pathfinder | € 3.018.312 | 2022 | Details |
Development and validation of a pan-cancer neutrophil biomarker test for predicting clinical benefit from immunotherapy based on flow cytometry analysis of blood samplesThe NeutroFlow project aims to develop a non-invasive blood test using a flow cytometry assay to predict cancer immunotherapy benefits, enhancing patient outcomes and reducing costs. | EIC Transition | € 2.499.999 | 2025 | Details |
Fully automated cell-free DNA extraction and quantification - liquid biopsies safely from Patient to Lab
BiopSense aims to develop and validate a fully automated disposable cartridge for cfDNA extraction from blood, enhancing reliability and transport ease for cancer diagnostics and prenatal screening.
Chemometric histopathology via coherent Raman imaging for precision medicine
The CHARM project aims to revolutionize cancer diagnosis with a novel AI-integrated, label-free tissue analysis system, achieving high accuracy in tumor identification and classification.
On-chip tomographic microscopy: a paraDIgm Shift for RevolUtionizing lab-on-a-chiP bioimaging technology
DISRUPT aims to revolutionize biomedical imaging with a novel lab-on-chip technology for cost-effective, high-resolution cancer detection and diagnostics using integrated tomographic microscopy and AI.
Development and validation of a pan-cancer neutrophil biomarker test for predicting clinical benefit from immunotherapy based on flow cytometry analysis of blood samples
The NeutroFlow project aims to develop a non-invasive blood test using a flow cytometry assay to predict cancer immunotherapy benefits, enhancing patient outcomes and reducing costs.