AIMC Topic: Microscopy

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Reproducibility and prognostic ability of chronicity parameters in kidney biopsy - Comprehensive evaluation comparing microscopy and artificial intelligence in digital pathology.

Human pathology Apr 18, 2024
INTRODUCTION: Semi-quantitative scoring of various parameters in renal biopsy is accepted as an important tool to assess disease activity and prognostication. There are concerns on the impact of interobserver variability in its prognostic utility, ge...
Polyomavirus Infections Image Interpretation, Computer-Assisted Observer Variation Glomerular Filtration Rate Kidney Diseases Predictive Value of Tests Biopsy Fibrosis Microscopy Male Middle Aged Kidney Aged Adult Artificial Intelligence Algorithms Kidney Transplantation Prognosis Female Reproducibility of Results Humans
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Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy.

PLoS neglected tropical diseases Apr 17, 2024
Filariasis, a neglected tropical disease caused by roundworms, is a significant public health concern in many tropical countries. Microscopic examination of blood samples can detect and differentiate parasite species, but it is time consuming and req...
Humans Artificial Intelligence Microscopy Filariasis Microfilariae Algorithms Animals Smartphone Elephantiasis, Filarial
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Code-Free Machine Learning Solutions for Microscopy Image Processing: Deep Learning.

Tissue engineering. Part A Apr 15, 2024
In recent years, there has been a significant expansion in the realm of processing microscopy images, thanks to the advent of machine learning techniques. These techniques offer diverse applications for image processing. Currently, numerous methods a...
Humans Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Microscopy Machine Learning Algorithms Animals
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Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence.

International journal of molecular sciences Apr 11, 2024
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating synapses on large populations of CNS neurons. PNN undergo structural changes in schizophrenia, epilepsy, Alzheimer's disease, stroke, post-traumatic co...
Humans Artificial Intelligence Brain Animals Neurons Microscopy Brain Diseases Nerve Net Synapses Extracellular Matrix
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Dilated Heterogeneous Convolution for Cell Detection and Segmentation Based on Mask R-CNN.

Sensors (Basel, Switzerland) Apr 10, 2024
Owing to the variable shapes, large size difference, uneven grayscale, and dense distribution among biological cells in an image, it is very difficult to accurately detect and segment cells. Especially, it is a serious challenge for some microscope i...
Algorithms Image Processing, Computer-Assisted Microscopy Humans Neural Networks, Computer
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DeepDOF-SE: affordable deep-learning microscopy platform for slide-free histology.

Nature communications Apr 5, 2024
Histopathology plays a critical role in the diagnosis and surgical management of cancer. However, access to histopathology services, especially frozen section pathology during surgery, is limited in resource-constrained settings because preparing sli...
Hematoxylin Fluorescent Dyes Microscopy Deep Learning Eosine Yellowish-(YS)
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Context-aware deep learning enables high-efficacy localization of high concentration microbubbles for super-resolution ultrasound localization microscopy.

Nature communications Apr 4, 2024
Ultrasound localization microscopy (ULM) enables deep tissue microvascular imaging by localizing and tracking intravenously injected microbubbles circulating in the bloodstream. However, conventional localization techniques require spatially isolated...
Microvessels Microbubbles Intravital Microscopy Animals Deep Learning Ultrasonography Rats Microscopy
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Advanced feature learning and classification of microscopic breast abnormalities using a robust deep transfer learning technique.

Microscopy research and technique Mar 30, 2024
Breast cancer is a major health threat, with early detection crucial for improving cure and survival rates. Current systems rely on imaging technology, but digital pathology and computerized analysis can enhance accuracy, reduce false predictions, an...
Breast Microscopy Deep Learning Image Processing, Computer-Assisted Algorithms Humans Female Breast Neoplasms
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Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images.

PloS one Mar 29, 2024
Light-sheet microscopy has made possible the 3D imaging of both fixed and live biological tissue, with samples as large as the entire mouse brain. However, segmentation and quantification of that data remains a time-consuming manual undertaking. Mach...
Microscopy Axons Machine Learning Animals Deep Learning Brain Mice
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The multimodality cell segmentation challenge: toward universal solutions.

Nature methods Mar 26, 2024
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in different exp...
Single-Cell Analysis Humans Algorithms Image Processing, Computer-Assisted Animals Microscopy Deep Learning
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