A5090209924- Advanced Fluorescence Microscopy Techniques
- Integrated Circuits and Semiconductor Failure Analysis
- Advanced Electrical Measurement Techniques
- Electrical and Bioimpedance Tomography
- Cell Image Analysis Techniques
- Advanced Electron Microscopy Techniques and Applications
- Zebrafish Biomedical Research Applications
- Force Microscopy Techniques and Applications
- Image and Signal Denoising Methods
- Photoacoustic and Ultrasonic Imaging
- Neuroscience and Neural Engineering
- Cell Adhesion Molecules Research
- Digital Holography and Microscopy
- Photoreceptor and optogenetics research
- Optical Imaging and Spectroscopy Techniques
- Neuroscience and Neuropharmacology Research
- Neural dynamics and brain function
Korea Advanced Institute of Science and Technology
2021-2025
Abstract Here we report SUPPORT (statistically unbiased prediction utilizing spatiotemporal information in imaging data), a self-supervised learning method for removing Poisson–Gaussian noise voltage data. is based on the insight that pixel value data highly dependent its neighboring pixels, even when temporally adjacent frames alone do not provide useful statistical prediction. Such dependency captured and used by convolutional neural network with blind spot to accurately denoise which...
Nanoscale imaging of whole vertebrates is essential for the systematic understanding human diseases, yet this goal has not been achieved. Expansion microscopy (ExM) an attractive option accomplishing aim; however, expansion even mouse embryos at mid- and late-developmental stages, which have fewer calcified body parts than adult mice, to be demonstrated due challenges expanding tissues. Here, we introduce a state-of-the-art ExM technique, termed whole-body ExM, that utilizes cyclic...
ABSTRACT Nanoscale resolution imaging of whole vertebrates is required for a systematic understanding human diseases, but this has yet to be realized. Expansion microscopy (ExM) an attractive option achieving goal, the expansion not been demonstrated due difficulty expanding hard body components. Here, we demonstrate whole-body ExM, which enables nanoscale anatomical structures, proteins, and endogenous fluorescent proteins (FPs) zebrafish larvae mouse embryos by them fourfold. We first show...
Abstract Recent advancements in genetically encoded calcium indicators, particularly those based on green fluorescent proteins, have optimized their performance for monitoring neuronal activities a variety of model organisms. However, progress developing red-shifted GECIs, despite advantages over has been slower, resulting fewer options end-users. In this study, we explored topological inversion and soma-targeting strategies, which are complementary to conventional mutagenesis, re-engineer...
This review explores how artificial intelligence (AI) is transforming fluorescence microscopy, providing an overview of its fundamental principles and recent advancements. The roles AI in improving image quality introducing new imaging modalities are discussed, offering a comprehensive perspective on these changes. Additionally, unified framework introduced for comprehending AI‐driven microscopy methodologies categorizing them into linear inverse problem‐solving, denoising, nonlinear...
Established methods for imaging the living mammalian brain have, to date, taken optical properties of tissue as fixed; we here demonstrate that it is possible modify itself significantly enhance at-depth while preserving native physiology. Using a small amount any several biocompatible materials raise refractive index solutions superfusing prior imaging, could increase several-fold signals from deepest cells normally visible and, under both one-photon and two-photon visualize previously too...
As a vertebrate model animal, larval zebrafish are widely used in neuroscience and provide unique opportunity to monitor whole-brain activity at the cellular resolution. Here, we an optimized protocol for performing imaging of using three-dimensional fluorescence microscopy, including sample preparation immobilization, embedding, image acquisition, visualization after imaging. The current enables vivo structure neuronal brain resolution over 1 h confocal microscopy custom-designed...
As a vertebrate model animal, larval zebrafish are widely used in neuroscience and provide unique opportunity to monitor whole-brain activity at the cellular resolution. Here, we an optimized protocol for performing imaging of using three-dimensional fluorescence microscopy, including sample preparation immobilization, embedding, image acquisition, visualization after imaging. The current enables vivo structure neuronal brain resolution over 1 h confocal microscopy custom-designed...
ABSTRACT Here we report SUPPORT (Statistically Unbiased Prediction utilizing sPatiOtempoRal information in imaging daTa), a self-supervised learning method for removing Poisson-Gaussian noise voltage data. is based on the insight that pixel value data highly dependent its spatially neighboring pixels same time frame, even when temporally adjacent frames do not provide useful statistical prediction. Such spatiotemporal dependency captured and utilized to accurately denoise which existence of...