Publications by authors named "Zepeng Huo"

Lipid droplets (LDs) are dynamic subcellular organelles that participate in various physiological processes, and their abnormality can also lead to various diseases. Tracing the dynamics of LDs in living cells will be valuable for understanding cell physiological states. Here, we employed a structured light illumination super-resolution imaging assisted with a carbonized polymer dot (CPD)-based fluorescence nanoprobe to track the travel paths of LDs and other organelles.

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Article Synopsis
  • - Over 85 million CT scans are done annually in the US, with a significant portion focused on the abdomen, highlighting a need for efficient interpretation methods due to a shortage of radiologists.
  • - To address this, researchers introduced Merlin, a 3D Vision Language Model (VLM) that uses both electronic health records and radiology reports for training without the need for manual annotations, utilizing a vast clinical dataset of millions of images and codes.
  • - Merlin was evaluated on various tasks, including chronic disease prediction and report generation, showing better performance than current methods, demonstrating its potential to support radiologists in their work.
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As a dynamic and multifunctional organelle, lipid droplets (LDs) are essential in maintaining lipid balance and transducing biological signals. LD accumulation and catabolism are closely associated with energy metabolism and cell signaling. In order to easily trace LDs in living cells, a novel carbonized polymer dot (CPD)-based fluorescent nanoprobe is reported to serve the needs of LD-targeting imaging.

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Despite recent advances in single-cell analysis techniques, the ability of single-cell analysis platforms to track specific cells that secreted cytokines remains limited. Here, we report a microfluidic droplet-based fluorescence imaging platform that can analyze single cell-secreted vascular endothelial growth factor (VEGF), an important regulator of physiological and pathological angiogenesis, to explore cellular physiological clues at the single-cell level. Two kinds of silica nanoparticle (NP)-based immunoprobes were developed, and they were bioconjugated to the membrane proteins of the probed cell surface the bridging of secreted VEGF.

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Two-photon absorption (TPA) has been widely used in confocal microscopy, photo-initiated three-dimensional (3D) polymerization, and 3D-micro/nanofabrication. These applications are based on the spatial confinement of the TPA excitation, due to the quadratic excitation power dependency of the excitation. However, an expensive and high-power femtosecond (fs) pulsed laser has to be used.

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The construction of organic optoelectronic materials with desirable size and morphology remains a challenge now. Crystal engineering strategies (polymorphs and cocrystals) provide convenience for tailoring molecular packing and further controlling the growth morphology and photofunctionality of materials. Herein, we prepare polymorphic 2D plate crystals and 3D microhelixes by assembly of a cyanostilbene derivative (2-(3',5'-bis(trifluoromethyl)-biphenyl-4-yl)-3-(4-(pyridin-4-yl)phenyl)acrylonitrile, CF-CN-Py).

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A high-throughput single-cell analytical technique based on the microdroplet array integrated with the plasmon-enhanced-four-wave mixing (PE-FWM) imaging was developed, which is applicable for the highly sensitive and automatic assessment of the surface receptors of cells. The metal nanoprobes were prepared by simply decorating metal nanoparticles with capturing molecules (antibody or molecules with surface identification function). Owing to the multifrequency selection of lasers via resonating their plasmonic bands, these metal nanoprobes are highly recognizable under the FWM imaging and display high photostability above fluorescent dyes.

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A green-emitting, low-toxicity carbonized polymer dot (CPD) with a high fluorescence quantum yield was synthesised by a simple hydrothermal method, and has been applied as a three-mode pH indicator and the pH readouts involve the intensity ratio of the absorption bands, the single-photon fluorescence, and the two-photon fluorescence (TPF) signals. The pH sensing mechanism of this CPD is dependent on the hydrogen ion regulation on its surface states, which is evidenced for the first time by transient spectroscopy. The rich surface states of this CPD allow a wider pH-responsive range relative to other carbon nanodot-based pH nanosensors.

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Development of high-performance carbon dots (CDs) with emission wavelength longer than 660 nm (deep red emission) is critical in deep-tissue bioimaging, yet it is still a major challenge to obtain CDs with both narrow full width at half maximum (FWHM) and high deep red/near-infrared emission yield. Here, deep red emissive carbonized polymer dots (CPDs) with unprecedented FWHM of 20 nm are synthesized. The purified CPDs in dimethyl sulfoxide (DMSO) solution possess quantum yield (QY) as high as 59% under 413 nm excitation, as well as recorded QY of 31% under 660 nm excitation in the deep red fluorescent window.

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This paper introduces a sparse embedding for electronic health record (EHR) data in order to predict hospital admission. We use a k-sparse autoencoder to embed the original registry data into a much lower dimension, with sparsity as a goal. Then, t-SNE is used to show the embedding of each patient's data in a 2D plot.

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