SMART-DOT
Progress beyond the state of the art:
- Analysis of the combined impact of spatial and temporal frequencies in DOT.
- Convolutional neural network for identifying and quantifying absorption and scattering perturbations in a diffusive medium.
Expected results:
- Devise an adaptive strategy for acquiring less data whilst maximizing the information during measurement stage.
- Refine the neural network including noise/variability of the experimental system, such as Instrumental Response Function, detector noise, etc.
SMART-FLUO
Progress beyond the state of the art:
- Development of a computational imaging strategy which allows fast 3D multispectral FLIM combining wide field structured illumination with time-resolved Single Pixel Camera detection together with data analysis algorithms based on compressed sensing and data fusion.
- Convolutional neural network for reconstructing multispectral time resolved images acquired by a fluorescent microscopy based on the Single Pixel Camera.
Expected results:
- Realization of real time multispectral FLIM systems working at a microscopic and mesoscopic scale exploiting different computational strategy such as data fusion and convolutional neural networks.
- Validation of the systems on phantoms and tissues to demonstrate its possible use for guided surgery.
SMART-2PM
Progress beyond the state of the art:
- Development of wide-field multiphoton microscopy techniques combining optimized structured illumination, an all-fiber near-IR femtosecond laser, flexible adaptive optics, multidimensional single-pixel detection, and adaptive compressive strategies.
- Introduction of intelligent automation into single-pixel microscopy through the development of innovative algorithms for adaptive pattern sampling, adaptive optics, and image reconstruction, powered by compressive sensing, data fusion, and neural networks.
Expected results:
- Novel nonlinear microscope system, featuring a cutting-edge near-IR femtosecond light source, dynamically programmable adaptive optics, and intelligent structured sampling, enabling high-speed, multidimensional imaging of biological samples with transformative spatial resolution and deep-tissue penetration.
- Quantitative validation of the system's performance through controlled experiments using phantoms and biological tissues labelled with specific fluorophores.
Potential impact of the CONcISE research project
Contribute to:
- Advanced multi-dimensional optical imaging techniques of biological tissues.
- Train a new generation of skilled multidisciplinary scientists with a strong vision of hardware/software integration, which is the key for innovative systems.
- Foster a network of scientific collaborations even beyond the duration of the project.
- Develop innovative and multidisciplinary approaches to doctoral programmes at the European level.
