AIMC Topic: Microscopy, Fluorescence

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Near-zero photon bioimaging by fusing deep learning and ultralow-light microscopy.

Proceedings of the National Academy of Sciences of the United States of America May 27, 2025
Enhancing the reliability and reproducibility of optical microscopy by reducing specimen irradiance continues to be an important biotechnology target. As irradiance levels are reduced, however, the particle nature of light is heightened, giving rise ...
Humans Deep Learning Microscopy Photons Image Processing, Computer-Assisted Microscopy, Fluorescence
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Deep Learning-Based Image Restoration and Super-Resolution for Fluorescence Microscopy: Overview and Resources.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Fluorescence microscopy is a key method for the visualization of cellular, subcellular, and molecular live-cell dynamics, enabling access to novel insights into mechanisms of health and disease. However, effects like phototoxicity, the fugitive natur...
Microscopy, Fluorescence Signal-To-Noise Ratio Humans Deep Learning Image Processing, Computer-Assisted
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A framework of multi-view machine learning for biological spectral unmixing of fluorophores with overlapping excitation and emission spectra.

Briefings in bioinformatics Nov 22, 2024
The accuracy of assigning fluorophore identity and abundance, known as spectral unmixing, in biological fluorescence microscopy images remains a significant challenge due to the substantial overlap in emission spectra among fluorophores. In tradition...
Machine Learning Microscopy, Fluorescence Microscopy, Confocal Fluorescent Dyes Algorithms Image Processing, Computer-Assisted
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[Comparative analysis of two assaysin detection of sperm DNA fragmentation index, flow cytometry and AI-based fluorescence microscopy, based on AO staining: A multicentre study].

Zhonghua nan ke xue = National journal of andrology Oct 1, 2023
OBJECTIVE: To study the correlation, consistency, and variations between two assays of DNA fragmentation index based on acridine orange (AO) staining via AI-based fluorescence microscopy(AI-DFI), and flow cytometry (FCM-DFI) across multiple centers.
Microscopy, Fluorescence Infertility, Male DNA Fragmentation Spermatozoa Staining and Labeling Flow Cytometry Semen Semen Analysis Artificial Intelligence Male Humans
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Improving flat fluorescence microscopy in scattering tissue through deep learning strategies.

Optics express Jul 3, 2023
Intravital microscopy in small animals growingly contributes to the visualization of short- and long-term mammalian biological processes. Miniaturized fluorescence microscopy has revolutionized the observation of live animals' neural circuits. The te...
Lens, Crystalline Microscopy, Fluorescence Deep Learning Image Processing, Computer-Assisted Intravital Microscopy Lenses Mammals Animals
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Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells by Deep Learning for Cell Center Detection using Three-Dimensional Confocal Fluorescence Microscopy Images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Accurate single cell segmentation provides means to monitor the behavior of single cell within a population of cells. Time-lapse fluorescence images are used to reveal heterogeneous nature of single mouse embryonic stem cell (ESC) colony and monitor ...
Mouse Embryonic Stem Cells Imaging, Three-Dimensional Image Processing, Computer-Assisted Mice Microscopy, Fluorescence Animals Deep Learning
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Deep Learning Empowered Fresnel-based Lensless Fluorescence Microscopy.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Miniaturized fluorescence microscopy has revolutionized the way neuroscientists study the brain in-vivo. Recent developments in computational lensless imaging promise a next generation of miniaturized microscopes in lensless fluorescence microscopy. ...
Microscopy, Fluorescence Head Optical Imaging Animals Deep Learning
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[Frontiers and development in live-cell super-resolution fluorescence microscopy].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2023
This paper reviews the research progress on live-cell super-resolution fluorescence microscopy, discusses the current research status and hotspots in this field, and summarizes the technological application of super-resolution fluorescence microscopy...
Artificial Intelligence Technology Fluorescent Dyes Microscopy, Fluorescence
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Digitally predicting protein localization and manipulating protein activity in fluorescence images using 4D reslicing GAN.

Bioinformatics (Oxford, England) Jan 1, 2023
MOTIVATION: While multi-channel fluorescence microscopy is a vital imaging method in biological studies, the number of channels that can be imaged simultaneously is limited by technical and hardware limitations such as emission spectra cross-talk. On...
Probability Protein Transport Software Microscopy, Fluorescence Neural Networks, Computer
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Spatial resolution improved fluorescence lifetime imaging via deep learning.

Optics express Mar 28, 2022
We present a deep learning approach to obtain high-resolution (HR) fluorescence lifetime images from low-resolution (LR) images acquired from fluorescence lifetime imaging (FLIM) systems. We first proposed a theoretical method for training neural net...
Optical Imaging Mice Microscopy, Fluorescence Animals Deep Learning
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