Korea Advanced Institute of Science and Technology · Physics and Astronomy
Professor Hervé Hugonnet's research lab specializes in advanced optical microscopy techniques for label-free, quantitative 3D imaging of biological and soft materials. The lab focuses on developing innovative methods in holotomography, dielectric tensor tomography, and quantitative phase imaging to reconstruct refractive index and optical anisotropy distributions in thick, intact samples with high resolution and minimal artifacts. Key research directions include optimizing illumination schemes for artifact-free tomographic reconstruction, mitigating scattering effects in thick tissues, and leveraging intrinsic sample dynamics to enhance axial resolution. The lab's work enables non-invasive, quantitative morphological and structural analysis of living cells and tissues without staining or labeling.
Figures are computed from collected data and may differ slightly.
In light transmission microscopy, axial scanning does not directly provide tomographic reconstruction of specimen. Phase deconvolution microscopy can convert a raw intensity image stack into a refractive index tomogram, the intrinsic sample contrast which can be exploited for quantitative morphological analysis. However, this technique is limited by reconstruction artifacts due to unoptimized optical conditions, which leads to a sparse and non-uniform optical transfer function. Here, we propose
Histopathology relies upon the staining and sectioning of biological tissues, which can be laborious and may cause artifacts and distort tissues. We develop label-free volumetric imaging of thick-tissue slides, exploiting refractive index distributions as intrinsic imaging contrast. The present method systematically exploits label-free quantitative phase imaging techniques, volumetric reconstruction of intrinsic refractive index distributions in tissues, and numerical algorithms for the seamless
ABSTRACT Histopathology relies upon the staining and sectioning of biological tissues, which can be laborious and may cause artefacts and distort tissues. Here, we demonstrate label-free volumetric imaging of thick-tissue slides, exploiting refractive index distributions as intrinsic imaging contrast. The present method systematically exploits label-free quantitative phase imaging techniques, volumetric reconstruction of intrinsic refractive index distributions in tissues, and numerical algorith
Holotomography, a three-dimensional quantitative phase imaging technique, presents an innovative, noninvasive approach to studying biological samples by exploiting the refractive index as an intrinsic imaging contrast. Despite offering label-free quantitative imaging capabilities, its potential in cell biology research has been stifled due to limitations in molecular specificity and axial resolution. Here, we propose and experimentally validate a solution to overcome these constraints by capital
Many important microscopy samples, such as liquid crystals, biological tissue, or starches, are birefringent in nature. They scatter light differently depending on the polarization of the light and the orientation of the molecules. The complete characterization of a birefringent sample is a challenging task because its 3 × 3 dielectric tensor must be reconstructed at every three-dimensional position. Moreover, obtaining a birefringent tomogram is more arduous for thick samples, where multiple li
Dielectric tensor tomography (DTT) enables the reconstruction of three-dimensional (3D) dielectric tensors, which provides a physical measure of 3D optical anisotropy. Herein, we present a cost-effective and robust method of DTT using spatial multiplexing. Exploiting two orthogonally polarized reference beams with different angles in an off-axis interferometer, two polarization-sensitive interferograms were multiplexed and recorded using a single camera. Then, the two interferograms were demulti
Dielectric tensor tomography reconstructs the three-dimensional dielectric tensors of microscopic objects and provides information about the crystalline structure orientations and principal refractive indices. Because dielectric tensor tomography is based on transmission measurement, it suffers from the missing cone problem, which causes poor axial resolution, underestimation of the refractive index, and halo artifacts. In this study, we study the application of total variation and positive semi
Dielectric tensor tomography reconstructs the three-dimensional dielectric tensors of microscopic objects and provides information about the crystalline structure orientations and principal refractive indices. Because dielectric tensor tomography is based on transmission measurement, it suffers from the missing cone problem, which causes poor axial resolution, underestimation of the refractive index, and halo artifacts. In this study, we present the generalization of total variation regularizati
We introduce a novel paradigm for full-field reflective geometry measurements. Contrary to full-field optical coherence tomography, which requires careful matching of the reference beam to the sample beam, our approach employs high temporal coherence and low spatial coherence illumination. This allows the reference plane to be shifted to the camera, eliminating the need for precise alignment. We further add 3D vibration stabilization, automatic calibration of the illumination incoherence and abe
We propose a novel approach for reflective measurements using utilizes high temporal coherence and low spatial coherence illumination in a full-field reflective geometry. This allows the reference plane to be shifted to the camera, eliminating the need for meticulous alignment and enabling the use of a single high numerical aperture (NA) objective lens. To enhance the quality of our measurements, we perform deconvolution and digital aberration correction on the measured data. We achieve a resolu
We present the pupil phase series (PPS), a fast and accurate forward scattering algorithm for simulating and inverting multiple light scattering in large biological samples. PPS achieves high-angle scattering accuracy and energy conservation simultaneously by introducing a spatially varying phase modulation in the pupil plane. By expanding the scattering term into a Taylor series, PPS achieves high precision while maintaining computational efficiency. We integrate PPS into a quasi-Newton inverse
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