Key research themes
1. How can computational methods replace traditional optical hardware elements to achieve compact and flexible imaging in lensless systems?
Lensless imaging explores alternatives to traditional lens-based cameras by using masks or optical elements to modulate incoming light, followed by computational reconstruction of images. This research theme investigates how computational algorithms can substitute the focusing function of lenses, enabling devices with ultra-thin form factors, low cost, and wavelength-independent imaging capabilities. The lensless framework also allows for novel sensor geometries and expanded spectral range, addressing limitations inherent to conventional lens systems.
2. What advances in optical coherence tomography (OCT) technology enable high-speed imaging with reduced cost, and how do they impact biomedical and industrial applications?
Optical coherence tomography has evolved considerably with Fourier domain detection, dramatically increasing imaging speed and sensitivity. However, traditional FD-OCT systems are expensive and complex, limiting accessibility. This theme explores recent engineering innovations such as line-field FD-OCT that combine parallel illumination and detection with cost-effective components to achieve high A-scan rates at reduced hardware cost. The research focuses on maintaining image quality and depth resolution while democratizing OCT technology for broader biomedical and industrial uses.
3. How can spatial frequency domain imaging (SFDI) systems be designed to provide accurate, wide-field, and real-time quantitative tissue imaging for biomedical applications?
Spatial frequency domain imaging uses spatially modulated illumination patterns to quantitatively extract the absorption and scattering properties of biological tissues across a wide field, enabling estimation of chromophore concentrations such as oxy- and deoxyhemoglobin. This theme covers advances in low-cost, open-source hardware designs, system calibration, multispectral illumination strategies, and data processing pipelines that improve accuracy, speed, and reliability of optical property measurements. These developments facilitate real-time, non-contact tissue characterization for clinical and preclinical research.