AIMC Topic: Microscopy
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Current landscape and emerging opportunities for using telecytology for rapid on-site assessment in cytopathology.
Cancer cytopathology
Jul 1, 2025
In recent years, cytopathology practices increasingly are considering the adoption of digital modalities to support remote rapid on-site evaluation (ROSE) of fine-needle aspiration biopsies. Currently, various digital options are available, each of w...
Implementing 100% quality control in a cervical cytology workflow using whole slide images and artificial intelligence provided by the Techcyte SureView™ System.
Cancer cytopathology
Jun 1, 2025
BACKGROUND: Recent advancements in digital pathology have extended into cytopathology. Laboratories screening cervical cytology specimens now choose between limited imaging options and traditional manual microscopy. The Techcyte SureView™ Cervical Cy...
Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification.
Nature communications
May 30, 2025
The objective of optical super-resolution imaging is to acquire reliable sub-diffraction information on bioprocesses to facilitate scientific discovery. Structured illumination microscopy (SIM) is acknowledged as the optimal modality for live-cell su...
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 ...
Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network.
Nature communications
May 24, 2025
Recent advances in deep learning-based image reconstruction techniques have led to significant progress in phase retrieval using digital in-line holographic microscopy (DIHM). However, existing phase retrieval methods have technical limitations in 3D...
Intelligent System for Automated Spheroid Segmentation Using Machine Learning.
Studies in health technology and informatics
May 15, 2025
Image segmentation is a crucial task of medical image processing, including the analysis of multicellular tumour spheroids (MTSs), a common in vitro model used in cancer research for drug screening. Accurate segmentation of MTSs images allows the ext...
Measuring Cell Dimensions in Fission Yeast Using Machine Learning.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2025
In fission yeast (Schizosaccharomyces pombe), cell length is a crucial indicator of cell cycle progression. Microscopy screens that examine the effect of agents or genotypes suspected of altering genomic or metabolic stability and thus cell size are ...
Evaluation of alarm notification of artificial intelligence in automated analyzer detection of parasites.
Medicine
Sep 27, 2024
To evaluate the alarm notification of artificial intelligence in detecting parasites on the KU-F40 Fully Automatic Feces Analyzer and provide a reference for clinical diagnosis in parasite diseases. A total of 1030 fecal specimens from patients in ou...
[Opportunities and expectations brought by artificial intelligence assisted peripheral blood cell morphology examination].
Zhonghua yi xue za zhi
Aug 27, 2024
The morphological examination of blood cells under manual microscopes is a classic method, but the obvious shortcomings limit the extensive development of peripheral blood cell morphological examination. By using the manual microscope method, it is d...
Next generation mycological diagnosis: Artificial intelligence-based classifier of the presence of Malassezia yeasts in tape strip samples.
Mycoses
Aug 1, 2024
BACKGROUND: Malassezia yeasts are almost universally present on human skin worldwide. While they can cause diseases such as pityriasis versicolor, their implication in skin homeostasis and pathophysiology of other dermatoses is still unclear. Their a...
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