Publications by authors named "Cheng-You Yao"
Article Synopsis
- - A new method for portable near-infrared (NIR) fluorescence microscopy is presented, designed to improve imaging of biological samples using the NIR-II window.
- - The integration of a superconducting nanowire single-photon detector (SNSPD) enhances the detection efficiency of the fluorescent dye indocyanine green (ICG), allowing for better imaging quality.
- - This technique yields high-resolution images and a better signal-to-noise ratio, which could significantly benefit future clinical studies in fluorescence microscopy.
Article Synopsis
- - SERS (Surface Enhanced Resonance Raman) is an advanced technique that boosts the sensitivity of Raman spectroscopy using noble metal nanoparticles, but existing SERS-NPs can clump together in physiological environments, leading to less effective results.
- - A new one-pot synthesis method has been developed to create stable and uniformly sized SERS-NPs, which enhances detection sensitivity and allows for the identification of different SERS-NPs through a specialized algorithm.
- - A novel liposome-based method was introduced to attach a carbohydrate ligand to the SERS-NPs, increasing their ability to bind to the CD44 receptor in tumor cells; this improvement enabled real-time imaging of breast cancer in mice during surgery, showcasing significant potential for medical applications. *
Article Synopsis
- Metastasis is a major cause of death from breast cancer, often showing minimal symptoms until significant organ involvement.
- Breast cancer multimodal imaging is beneficial as it combines different detection methods for more accurate results, utilizing glycoprotein CD44 for targeted delivery.
- Researchers developed a new nanoparticle (NP-ICG-HA) for imaging that successfully identifies primary tumors and lung metastases in mouse models, highlighting its potential for noninvasive breast cancer diagnosis.
Indocyanine Green-Conjugated Superparamagnetic Iron Oxide Nanoworm for Multimodality Breast Cancer Imaging.
ACS Appl Nano Mater
December 2022
Breast cancer is the leading cause of cancer-associated deaths among women. Techniques for non-invasive breast cancer detection and imaging are urgently needed. Multimodality breast cancer imaging is attractive since it can integrate advantages from several modalities, enabling more accurate cancer detection.
View Article and Find Full Text PDFRecurrent and convolutional neural networks for sequential multispectral optoacoustic tomography (MSOT) imaging.
J Biophotonics
November 2023
Article Synopsis
- Multispectral optoacoustic tomography (MSOT) is a valuable technique for understanding biological samples, but it typically takes a long time to capture high-resolution images.
- This study introduces a deep learning model that combines recurrent and convolutional neural networks to efficiently generate cross-sectional images, allowing for a faster scan using multiple imaging modalities in one go.
- By utilizing a contrast agent called ICG-conjugated nanoworms and reducing the number of necessary images, the new approach can cut down acquisition time by about 71%.
Super-resolution and segmentation deep learning for breast cancer histopathology image analysis.
Biomed Opt Express
January 2023
Traditionally, a high-performance microscope with a large numerical aperture is required to acquire high-resolution images. However, the images' size is typically tremendous. Therefore, they are not conveniently managed and transferred across a computer network or stored in a limited computer storage system.
View Article and Find Full Text PDFTunable, Low-Cost, Multi-Channel, Broadband Liquid Crystal Shutter for Fluorescence Imaging in Widefield Microscopy.
Micromachines (Basel)
August 2022
Bistable liquid crystal (LC) shutters have attracted much interest due to their low energy consumption and fast response time. In this paper, we demonstrate an electrically tunable/switchable biostable LC light shutter in biological optics through a three-step easy-assembly, inexpensive, multi-channel shutter. The liquid crystal exhibits tunable transparency (100% to 10% compared to the initial light intensity) under different voltages (0 V to 90 V), indicating its tunable potential.
View Article and Find Full Text PDFIntegrative neural interfaces combining neurophysiology and optogenetics with neural imaging provide numerous opportunities for neuroscientists to study the structure and function of neural circuits in the brain. Such a comprehensive interface demands miniature electrode arrays with high transparency, mechanical flexibility, electrical conductivity, and biocompatibility. Conventional transparent microelectrodes made of a single material, such as indium tin oxide (ITO), ultrathin metals, graphene and poly-(3,4-ethylenedioxythiophene)/poly(styrenesulfonate) (PEDOT:PSS), hardly possess the desired combination of those properties.
View Article and Find Full Text PDF2D Au-Coated Resonant MEMS Scanner for NIR Fluorescence Intraoperative Confocal Microscope.
Micromachines (Basel)
April 2019
The electrostatic MEMS scanner plays an important role in the miniaturization of the microscopic imaging system. We have developed a new two-dimensional (2D) parametrically-resonant MEMS scanner with patterned Au coating (>90% reflectivity at an NIR 785-nm wavelength), for a near-infrared (NIR) fluorescence intraoperative confocal microscopic imaging system with a compact form factor. A silicon-on-insulator (SOI)-wafer based dicing-free microfabrication process has been developed for mass-production with high yield.
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