A5013130512- Optical Coherence Tomography Applications
- Advanced Fluorescence Microscopy Techniques
- Photoacoustic and Ultrasonic Imaging
- Cell Image Analysis Techniques
- AI in cancer detection
- Angiogenesis and VEGF in Cancer
- COVID-19 epidemiological studies
- Vaccine Coverage and Hesitancy
- Lymphatic System and Diseases
- Digital Imaging for Blood Diseases
- Magnetic properties of thin films
- Image Processing Techniques and Applications
- Advanced X-ray Imaging Techniques
- Digital Holography and Microscopy
- Electron and X-Ray Spectroscopy Techniques
- Advanced Electron Microscopy Techniques and Applications
- SARS-CoV-2 and COVID-19 Research
- Molecular spectroscopy and chirality
- Retinal and Macular Surgery
- Island Studies and Pacific Affairs
- Climate Change, Adaptation, Migration
- X-ray Spectroscopy and Fluorescence Analysis
- Quantum, superfluid, helium dynamics
- Influenza Virus Research Studies
Stanford Medicine
2018-2024
Stanford University
2015-2024
SLAC National Accelerator Laboratory
2016-2019
Menlo School
2016-2019
University of California, Santa Barbara
2015
Histological hematoxylin and eosin-stained (H&E) tissue sections are used as the gold standard for pathologic detection of cancer, tumor margin detection, disease diagnosis. Producing H&E sections, however, is invasive time-consuming. While deep learning has shown promise in virtual staining unstained slides, true biopsy requires images taken from intact tissue. In this work, we developed a micron-accuracy coregistration method [micro-registered optical coherence tomography (OCT)] that can...
Optical coherence tomography angiography (OCTA) is an important tool for investigating vascular networks and microcirculation in living tissue. Traditional OCTA detects blood vessels via intravascular dynamic scattering signals derived from the movements of red cells (RBCs). However, low hematocrit long latency between RBCs capillaries make these discontinuous, leading to incomplete mapping networks. imaging microvascular circulation particularly challenging tumors due abnormally slow flow...
X-ray magnetic circular dichroism spectroscopy using an free electron laser is demonstrated with spectra over the Fe L3,2-edges. The high brightness of combined accuracy detection incident and transmitted X-rays enables ultrafast studies unprecedented sensitivity. This new capability applied to a study all-optical switching dynamics Gd sublattices in GdFeCo thin film above its magnetization compensation temperature.
Developing contrast-enhanced optical coherence tomography (OCT) techniques is important for specific imaging of tissue lesions, molecular imaging, cell-tracking, and highly sensitive microangiography lymphangiography. Multiplexed OCT in the second near-infrared (NIR-II) window desirable since it allows simultaneous tracking multiple biological events high resolution with deeper penetration vivo. Here we demonstrate that gold nanobipyramids can function as multiplexing contrast agents,...
Resonant X-ray absorption, where an photon excites a core electron into unoccupied valence state, is essential process in many standard spectroscopies. With increasing intensity, the absorption strength expected to become nonlinear. Here, we report onset of such nonlinearity resonant magnetic Co/Pd multilayers near Co L[Formula: see text] edge. The directly observed through change spectrum, which modified less than 40 fs within 2 eV its threshold. This interpreted as redistribution electrons...
Developing robust, quantitative methods to optimize resource allocations in response epidemics has the potential save lives and minimize health care costs. In this paper, we develop apply a computationally efficient algorithm that enables us calculate complete probability distribution for final epidemic size stochastic Susceptible-Infected-Recovered (SIR) model. Based on these results, determine optimal of limited quantity vaccine between two non-interacting populations. We compare solution...
Abstract Current in vivo neuroimaging techniques provide limited field of view or spatial resolution and often require exogenous contrast. These limitations prohibit detailed structural imaging across wide fields hinder intraoperative tumor margin detection. Here we present a novel technique, speckle-modulating optical coherence tomography (SM-OCT), which allows us to image the brains live mice ex human samples with unprecedented using only endogenous The increased visibility provided by...
Histological haematoxylin and eosin–stained (H&E) tissue sections are used as the gold standard for pathologic detection of cancer, tumour margin detection, disease diagnosis 1 . Producing H&E sections, however, is invasive time-consuming. Non-invasive optical imaging modalities, such coherence tomography (OCT), permit label-free, micron-scale 3D biological microstructure with significant depth (up to 1mm) large fields-of-view 2 , but difficult interpret correlate clinical ground...
In this paper, we develop a complete pipeline for stain normalization, segmentation, and classification of nuclei in hematoxylin eosin (H&E) stained breast cancer histopathology images. the first step, use CNN-based transfer technique to normalize staining characteristics We then train neural network segment images from H&E Finally, an Information Maximizing Generative Adversarial Network (InfoGAN) learn visual representations different types classify them entirely unsupervised...
Abstract Optical coherence tomography (OCT) suffers from speckle noise due to the high spatial of utilized light source, leading significant reductions in image quality and diagnostic capabilities. In past, angular compounding techniques have been applied suppress noise. However, existing registration methods usually guarantee pure only within a relatively small field view focal region, but produce averaging other regions, resulting resolution loss blur. This work develops an model correctly...
Cellular composition and structural organization of cells in the tissue determine effective antitumor response can predict patient outcome therapy response. Here we present Seg-SOM, a method for dimensionality reduction cell morphology H&E-stained images. Seg-SOM resolves cellular heterogeneity reveals complex architecture. We leverage self-organizing map (SOM) artificial neural network to group based on morphological features like shape size. allows segmentation, systematic classification,...
The ability to detect multiple contrast agents simultaneously would greatly enhance optical coherence tomography (OCT) images, providing nuanced biological context physiological structures. However, previous OCT agent work has been limited scenarios where only a single could be robustly detected within each voxel. We present novel spectroscopic technique for demixing the spectral signal from validate our in vitro and also demonstrate vivo imaging of three spectrally distinct gold...
ABSTRACT Optical coherence tomography angiography (OCTA) is an important tool for investigating vascular networks and microcirculation in living tissue. Traditional OCTA detects blood vessels via intravascular dynamic scattering signals derived from the movements of red cells (RBCs). However, low hematocrit long latency between RBCs capillaries makes these discontinuous, leading to incomplete mapping networks. imaging microvascular circulation particularly challenging tumors due abnormally...
The ability to detect multiple contrast agents simultaneously would greatly enhance Optical Coherence Tomography (OCT) images, providing nuanced biological context physiological structures. However, previous OCT agent work has been limited scenarios where only a single could be robustly detected within each voxel. We present novel spectroscopic technique for de-mixing the spectral signal from validate our in vitro and also demonstrate vivo imaging of three spectrally distinct gold...
Optical coherence tomography can acquire the entire depth-resolved profile of sample at a single shot (A-scan). However, lateral resolution changes with depth, achieving smallest focus focal plane and increasing significantly defocusing distance, especially for high numerical aperture lens. In order to maintain over large depth range, novel diffractive optical element is developed construct needle-shaped beam depth-of-focus 10- 150-fold Rayleigh lengths, relatively constant diameter, uniform...
Abstract Current in vivo neuroimaging techniques provide limited field of view or spatial resolution and often require exogenous contrast. These limitations prohibit detailed structural imaging across wide fields hinder intraoperative tumor margin detection. Here we present a novel technique, speckle-modulating optical coherence tomography (SM-OCT), which allows us to image the brains live mice ex human samples with unprecedented using only endogenous The increased effective provided by...
Abstract Developing contrast-enhanced optical coherence tomography (OCT) techniques is important for specific imaging of tissue lesions, molecular imaging, cell-tracking, and highly sensitive microangiography lymphangiography. Multiplexed OCT in the second near infrared (NIR-II) window desirable since it allows simultaneous tracking multiple biological events high resolution with deeper penetration vivo . Here we demonstrate that gold nanobipyramids can function as multiplexing contrast...
The ability to detect multiple contrast agents simultaneously would greatly enhance Optical Coherence Tomography (OCT) images, providing nuanced biological context physiological structures. However, previous OCT agent work has been limited scenarios where only a single could be robustly detected within each voxel. We present novel spectroscopic technique for de-mixing the spectral signal from validate our in vitro and also demonstrate vivo imaging of three spectrally distinct gold...
Optical coherence tomography angiography (OCTA) is an important tool for investigating vascular networks and microcirculation in living tissue. Traditional OCTA detects blood vessels via intravascular dynamic scattering signals derived from the movements of red cells (RBCs). However, low hematocrit long latency between RBCs capillaries make these discontinuous, leading to incomplete mapping networks. imaging microvascular circulation particularly challenging tumors due abnormally slow flow...
Optical coherence tomography (OCT) suffers from speckle noise due to use of spatially coherent light, leading significant reductions in image quality. Angular compounding techniques have been applied remove noise, but, existing registration methods only guarantee pure angular the focal plane and produce spatial averaging defocused regions. This work develops an model correctly localize real-space location every pixel OCT images captured at multiple incident angles, with digital focusing...
In this work we develop a theoretical framework for analyzing generic speckle reduction algorithms including all possible light modulations: angular compounding, spatial modulators and others. We show that using Laguerre Gauss modes - LG Speckle Reduction achieves the boundary of minimal number samples therefore is optimal. demonstrate in in-vitro sample line with our model. further to it can outperform outside focal plane by most methods generates fast high-quality images.
Developing suitable contrast agents is essential for multiplexed optical coherence tomography (OCT), which allows simultaneous imaging of different biomarkers, cells and flows in living subjects. However, few OCT have shown multiplexing capability, especially the second near infrared (NIR-II) window. Here we demonstrate that using gold nanobipyramds as agents, two separate lymph can be visualized simultaneously a live mouse NIR-II We concurrently traced draining from melanoma tumor...