HEДокторантска мрежа2023–2027

CONcISE · COmputatioNal Imaging as a training Network for Smart biomedical dEvices

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2023-02-01 → 2027-01-31
Финансиране от ЕС
2 637 216 €
Участници
14
Схема
HORIZON-TMA-MSCA-DN

Линиите свързват координатора с партньорите.

Накратко на български

Нови методи за оптично изображение изследват как светлината преминава през тъкани, за да откриват вещества в тях. Тези системи помагат за по-точното картографиране на биологични структури и подпомагат лекарите при провеждането на операции.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

COmputatioNal Imaging as a training Network for Smart biomedical dEvices

The aim of CONcISE is to develop novel, unconventional, multi-dimensional optical imaging techniques making use of structured-light, single-pixel imaging and adaptive, data-driven approaches for the detection and mapping of endogenous and exogenous contrast agents, such as absorption, scattering and fluorescence, in biological tissues with Visible and Near-Infrared Light (VIS-NIR). 11 Doctoral Candidates will develop three novel systems for relevant problems related to biomedical imaging: 1. SMART-DOT: a Diffuse-Optical Tomography for mapping absorption and scattering of thick biological tissues, using pulsed light together with structured illumination and compressive detection. 2. SMART-FLUO: a system for multispectral fluorescence imaging, using structured light illumination. The system aims to provide the physician with a fast-imaging tool to be used during guided surgery with exogenous contrast agents. 3. SMART-2PM: a system for high-resolution imaging of biological samples with wide-field 2-Photon Microscopy based on light-structured illumination and integrated detection. The system will combine new fs-light sources in the near-IR, sophisticated adaptive optics systems, temporal focusing, single-pixel imaging strategies, and computational imaging approaches based on machine learning for adaptive detection.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

Our vision is to develop novel, unconventional techniques for multi-dimensional biomedical optical imaging for the detection and mapping of absorption, scattering, and fluorescence, in biological tissues using visible and near-infrared light. The possibility of detecting other dimensions like time and wavelength, together with space, dramatically improves the imaging and diagnostic power of biomedical devices. So far, this capability is strongly hampered by the fact that most of the biomedical instrumentation works trying to maximize the number of measurements (pixel, raster scans, ...) regardless of the information content, thus leading to a huge amount of data to manage, transfer and analyze, with consequent bottleneck and gap between measurement and result. CONcISE will overcome these limitations thanks to an outstanding research and training programme based on the vision that (i) a system as a whole includes both hardware and software integrated and working together, (ii) acquisition and detection are piloted by information content derived by the sample under an adaptive, data-driven framework. Under this approach, ESRSs will be capable of leading and boosting the biomedical imaging industry towards the development of a new generation of devices, with a strong impact in the sector and in general healthcare. The consortium, balanced among EU experts with computational, experimental and industrial competences, will provide ESRs with a unique, advanced, multi-disciplinary training covering all the aspects of the biomedical imaging science: modelling, design, development, data analysis, validation and translation to the application.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз