AIMC Topic: Microscopy

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Leukocyte differentiation in bronchoalveolar lavage fluids using higher harmonic generation microscopy and deep learning.

PloS one Jun 27, 2023
BACKGROUND: In diseases such as interstitial lung diseases (ILDs), patient diagnosis relies on diagnostic analysis of bronchoalveolar lavage fluid (BALF) and biopsies. Immunological BALF analysis includes differentiation of leukocytes by standard cyt...
Leukocyte Count Leukocytes Bronchoalveolar Lavage Microscopy Bronchoalveolar Lavage Fluid Lung Diseases, Interstitial Cell Differentiation Deep Learning Humans
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Quantitative phase imaging of living red blood cells combining digital holographic microscopy and deep learning.

Journal of biophotonics Jun 23, 2023
Digital holographic microscopy as a non-contacting, non-invasive, and highly accurate measurement technology, is becoming a valuable method for quantitatively investigating cells and tissues. Reconstruction of phases from a digital hologram is a key ...
Humans Neural Networks, Computer Erythrocytes Holography Microscopy Deep Learning
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DeepSea is an efficient deep-learning model for single-cell segmentation and tracking in time-lapse microscopy.

Cell reports methods Jun 12, 2023
Time-lapse microscopy is the only method that can directly capture the dynamics and heterogeneity of fundamental cellular processes at the single-cell level with high temporal resolution. Successful application of single-cell time-lapse microscopy re...
Time-Lapse Imaging Deep Learning Microscopy, Phase-Contrast Microscopy
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Triplet-Net Classification of Contiguous Stem Cell Microscopy Images.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
Cellular microscopy imaging is a common form of data acquisition for biological experimentation. Observation of gray-level morphological features allows for the inference of useful biological information such as cellular health and growth status. Cel...
Neural Networks, Computer Microscopy Stem Cells Reproducibility of Results
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PPSW-SHAP: Towards Interpretable Cell Classification Using Tree-Based SHAP Image Decomposition and Restoration for High-Throughput Bright-Field Imaging.

Cells May 13, 2023
Advancements in high-throughput microscopy imaging have transformed cell analytics, enabling functionally relevant, rapid, and in-depth bioanalytics with Artificial Intelligence (AI) as a powerful driving force in cell therapy (CT) manufacturing. Hig...
Cell- and Tissue-Based Therapy Wavelet Analysis Artificial Intelligence Artifacts Microscopy Humans
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A Compound Loss Function With Shape Aware Weight Map for Microscopy Cell Segmentation.

IEEE transactions on medical imaging May 2, 2023
Microscopy cell segmentation is a crucial step in biological image analysis and a challenging task. In recent years, deep learning has been widely used to tackle this task, with promising results. A critical aspect of training complex neural networks...
Deep Learning Microscopy Cells Image Processing, Computer-Assisted
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Artificial Intelligence in Point-of-Care Testing.

Annals of laboratory medicine Apr 21, 2023
With the projected increase in the global population, current healthcare delivery models will face severe challenges. Rural and remote areas, whether in developed or developing countries, are characterized by the same challenges: the unavailability o...
Microscopy Humans Hospitals Artificial Intelligence Point-of-Care Testing
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Digital Histopathology by Infrared Spectroscopic Imaging.

Annual review of analytical chemistry (Palo Alto, Calif.) Apr 17, 2023
Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra, enabling a comprehensive measurement of the chemical makeup and heterogeneity of biological tissues. Combining this novel contrast mechanism in microscopy w...
Artificial Intelligence Humans Coloring Agents Spectrophotometry, Infrared Machine Learning Microscopy
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Comparison of deep learning models for digital H&E staining from unpaired label-free multispectral microscopy images.

Computer methods and programs in biomedicine Apr 5, 2023
BACKGROUND AND OBJECTIVE: This paper presents the quantitative comparison of three generative models of digital staining, also known as virtual staining, in H&E modality (i.e., Hematoxylin and Eosin) that are applied to 5 types of breast tissue. More...
Eosine Yellowish-(YS) Microscopy Deep Learning Staining and Labeling Image Processing, Computer-Assisted
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Multilayer outperforms single-layer slide scanning in AI-based classification of whole slide images with low-burden acid-fast mycobacteria (AFB).

Computer methods and programs in biomedicine Mar 28, 2023
Manual screening of Ziehl-Neelsen (ZN)-stained slides that are negative or contain rare acid-fast mycobacteria (AFB) is labor-intensive and requires repetitive refocusing to visualize AFB candidates under the microscope. Whole slide image (WSI) scann...
Microscopy Artificial Intelligence
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