SubsidieMeestersIntegrated photonics-based structured illumination for sequencing
This project aims to demonstrate a novel CMOS imager technology that enhances next-generation sequencing throughput and cost-effectiveness by enabling sub-pixel resolution readout.
Projectdetails
Introduction
High-throughput next-generation sequencing has revolutionized healthcare. Nevertheless, widespread adoption remains hindered by a trade-off between clinically relevant turnaround times and cost-effectiveness.
Challenges in Current Technologies
This trade-off arises from the limitations of sequencing-by-synthesis (SBS) chemistry and traditional optical readout architectures. To address this, integrated parallel readout on a CMOS imager is the preferred technology – as opposed to free space microscope scanners.
Limitations of Current Solutions
However, size and number of pixels pose a critical limit on throughput.
Innovative Solution
A novel technology developed in the IROCSIM ERC StG presents a unique solution by enabling sub-pixel resolution readout, leading to orders of magnitude increase in read density per pixel—unlocking the 1 billion-plus reads range.
Technical Integration
It monolithically integrates an imager with filters and photonic-integrated-circuit-generated, IP protected, structured illumination patterns.
Project Goals
This project aims to demonstrate the commercial and technical potential of this technology for sequencing applications. This innovation could be a fundamental breakthrough in a longstanding bottleneck in sequencing products.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 150.000 |
| Totale projectbegroting | € 150.000 |
Tijdlijn
| Startdatum | 1-3-2025 |
| Einddatum | 31-8-2026 |
| Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUMpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Computational multiplexing to optimise next-generation sequencingDeveloping MultiSeq, a bioinformatics solution to streamline and reduce costs in NGS library preparation, aiming to democratize sequencing technology and enhance its application across industries. | ERC Proof of... | € 150.000 | 2023 | Details |
Optical Sequencing inside Live Cells with Biointegrated NanolasersHYPERION aims to revolutionize intracellular biosensing by using plasmonic nanolasers for real-time detection of RNA, enhancing our understanding of molecular processes in living cells. | ERC Starting... | € 1.577.695 | 2022 | Details |
Nanoscale Isotropic 3D Resolution using Omni-view Structured Light Sheet MicroscopyThis project aims to revolutionize biological imaging by developing a novel optical architecture for super-resolution microscopy that enhances 3D imaging resolution and sample longevity without trade-offs. | ERC Advanced... | € 2.293.558 | 2022 | Details |
The sequencing microscope - a path to look at the molecules of biologyThis project aims to develop a novel technique that uses sequencing data to infer spatial information in tissues, enhancing our understanding of biological systems without advanced microscopy. | ERC Advanced... | € 2.500.000 | 2024 | Details |
Real-time, High-throughput, Coherent X-ray Microscopy: from Large-Scale Installations to Tabletop DeviceHYPER aims to develop a cost-effective tabletop coherent XUV microscope for advanced nanoscale imaging, enhancing accessibility and understanding in optoelectronics and biomedical applications. | ERC Proof of... | € 150.000 | 2024 | Details |
Computational multiplexing to optimise next-generation sequencing
Developing MultiSeq, a bioinformatics solution to streamline and reduce costs in NGS library preparation, aiming to democratize sequencing technology and enhance its application across industries.
Optical Sequencing inside Live Cells with Biointegrated Nanolasers
HYPERION aims to revolutionize intracellular biosensing by using plasmonic nanolasers for real-time detection of RNA, enhancing our understanding of molecular processes in living cells.
Nanoscale Isotropic 3D Resolution using Omni-view Structured Light Sheet Microscopy
This project aims to revolutionize biological imaging by developing a novel optical architecture for super-resolution microscopy that enhances 3D imaging resolution and sample longevity without trade-offs.
The sequencing microscope - a path to look at the molecules of biology
This project aims to develop a novel technique that uses sequencing data to infer spatial information in tissues, enhancing our understanding of biological systems without advanced microscopy.
Real-time, High-throughput, Coherent X-ray Microscopy: from Large-Scale Installations to Tabletop Device
HYPER aims to develop a cost-effective tabletop coherent XUV microscope for advanced nanoscale imaging, enhancing accessibility and understanding in optoelectronics and biomedical applications.
Vergelijkbare projecten uit andere regelingen
| Project | Regeling | Bedrag | Jaar | Actie |
|---|---|---|---|---|
Photonic chip based high-throughput, multi-modal and scalable optical nanoscopy platformNanoVision aims to revolutionize optical nanoscopy with an affordable, compact, and high-throughput photonic-chip solution, enhancing accessibility and flexibility for research and clinical labs. | EIC Transition | € 2.489.571 | 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 |
NEW TECHNOLOGY FOR 1 MICRON RESOLUTION BIOMEDICAL IMAGINGThe 1MICRON project aims to revolutionize cancer detection by developing high-resolution, integrated x-ray sensors for immediate surgical feedback, potentially saving over 100,000 treatments annually in Europe. | EIC Pathfinder | € 2.999.999 | 2025 | Details |
Processing-in-memory architectures and programming libraries for bioinformatics algorithmsThis project aims to enhance genomics research by developing energy-efficient, cost-effective edge computing solutions using processing-in-memory technologies for high-throughput sequencing data analysis. | EIC Pathfinder | € 1.966.665 | 2022 | Details |
RECONFIGURABLE SUPERCONDUTING AND PHOTONIC TECHNOLOGIES OF THE FUTURERESPITE aims to develop a compact, scalable neuromorphic computing platform integrating vision and cognition on a single chip using superconducting technologies for ultra-low power and high performance. | EIC Pathfinder | € 2.455.823 | 2023 | Details |
Photonic chip based high-throughput, multi-modal and scalable optical nanoscopy platform
NanoVision aims to revolutionize optical nanoscopy with an affordable, compact, and high-throughput photonic-chip solution, enhancing accessibility and flexibility for research and clinical labs.
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.
NEW TECHNOLOGY FOR 1 MICRON RESOLUTION BIOMEDICAL IMAGING
The 1MICRON project aims to revolutionize cancer detection by developing high-resolution, integrated x-ray sensors for immediate surgical feedback, potentially saving over 100,000 treatments annually in Europe.
Processing-in-memory architectures and programming libraries for bioinformatics algorithms
This project aims to enhance genomics research by developing energy-efficient, cost-effective edge computing solutions using processing-in-memory technologies for high-throughput sequencing data analysis.
RECONFIGURABLE SUPERCONDUTING AND PHOTONIC TECHNOLOGIES OF THE FUTURE
RESPITE aims to develop a compact, scalable neuromorphic computing platform integrating vision and cognition on a single chip using superconducting technologies for ultra-low power and high performance.