AIMC Topic: Microscopy, Fluorescence
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Clinical-Grade Validation of an Autofluorescence Virtual Staining System With Human Experts and a Deep Learning System for Prostate Cancer.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jul 26, 2024
The tissue diagnosis of adenocarcinoma and intraductal carcinoma of the prostate includes Gleason grading of tumor morphology on the hematoxylin and eosin stain and immunohistochemistry markers on the prostatic intraepithelial neoplasia-4 stain (CK5/...
Improving quantitative prediction of protein subcellular locations in fluorescence images through deep generative models.
Computers in biology and medicine
Jul 23, 2024
Machine learning has been employed in recognizing protein localization at the subcellular level, which highly facilitates the protein function studies, especially for those multi-label proteins that localize in more than one organelle. However, exist...
Virtual tissue microstructure reconstruction across species using generative deep learning.
PloS one
Jul 12, 2024
Analyzing tissue microstructure is essential for understanding complex biological systems in different species. Tissue functions largely depend on their intrinsic tissue architecture. Therefore, studying the three-dimensional (3D) microstructure of t...
Non-invasive screening of bladder cancer using digital microfluidics and FLIM technology combined with deep learning.
Journal of biophotonics
Jun 28, 2024
Non-invasive screening for bladder cancer is crucial for treatment and postoperative follow-up. This study combines digital microfluidics (DMF) technology with fluorescence lifetime imaging microscopy (FLIM) for urine analysis and introduces a novel ...
Deep learning-based localization algorithms on fluorescence human brain 3D reconstruction: a comparative study using stereology as a reference.
Scientific reports
Jun 25, 2024
3D reconstruction of human brain volumes at high resolution is now possible thanks to advancements in tissue clearing methods and fluorescence microscopy techniques. Analyzing the massive data produced with these approaches requires automatic methods...
A machine learning based method for tracking of simultaneously imaged neural activity and body posture of freely moving maggot.
Biochemical and biophysical research communications
Jun 24, 2024
To understand neural basis of animal behavior, it is necessary to monitor neural activity and behavior in freely moving animal before building relationship between them. Here we use light sheet fluorescence microscope (LSFM) combined with microfluidi...
AI analysis of super-resolution microscopy: Biological discovery in the absence of ground truth.
The Journal of cell biology
Jun 12, 2024
Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study molecular structure at the nanoscale level in the intact cell, bridging the mesoscale gap to classical structural biology methodolog...
Deep learning-based spectroscopic single-molecule localization microscopy.
Journal of biomedical optics
May 24, 2024
SIGNIFICANCE: Spectroscopic single-molecule localization microscopy (sSMLM) takes advantage of nanoscopy and spectroscopy, enabling sub-10 nm resolution as well as simultaneous multicolor imaging of multi-labeled samples. Reconstruction of raw sSMLM ...
In Vivo Intelligent Fluorescence Endo-Microscopy by Varifocal Meta-Device and Deep Learning.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Mar 15, 2024
Endo-microscopy is crucial for real-time 3D visualization of internal tissues and subcellular structures. Conventional methods rely on axial movement of optical components for precise focus adjustment, limiting miniaturization and complicating proced...
Fluorescent Neuronal Cells v2: multi-task, multi-format annotations for deep learning in microscopy.
Scientific data
Feb 10, 2024
Fluorescent Neuronal Cells v2 is a collection of fluorescence microscopy images and the corresponding ground-truth annotations, designed to foster innovative research in the domains of Life Sciences and Deep Learning. This dataset encompasses three i...
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