AIMC Topic: Cytoplasm
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AI-empowered integrative structural characterization of mA methyltransferase complex.
Cell research
Nov 10, 2022
Computer-Vision-Based Dielectrophoresis Mobility Tracking for Characterization of Single-Cell Biophysical Properties.
Analytical chemistry
Oct 3, 2022
Fast and precise measurements of live single-cell biophysical properties is significant in disease diagnosis, cytopathologic analysis, etc. Existing methods still suffer from unsatisfied measurement accuracy and low efficiency. We propose a computer ...
Rapid discrimination of glycogen particles originated from different eukaryotic organisms.
International journal of biological macromolecules
Sep 29, 2022
There are many commercially available glycogen particles in the market due to their bioactive functions as food additive, drug carrier and natural moisturizer, etc. It would be beneficial to rapidly determine the origins of commercially-available gly...
Deep Features Aggregation-Based Joint Segmentation of Cytoplasm and Nuclei in White Blood Cells.
IEEE journal of biomedical and health informatics
Aug 11, 2022
White blood cells (WBCs), also known as leukocytes, are one of the valuable parts of the blood and immune system. Typically, pathologists use microscope for the manual inspection of blood smears which is a time-consuming, error-prone, and labor-inten...
Application of the sliding window method and Mask-RCNN method to nuclear recognition in oral cytology.
Diagnostic pathology
Aug 2, 2022
BACKGROUND: We aimed to develop an artificial intelligence (AI)-assisted oral cytology method, similar to cervical cytology. We focused on the detection of cell nuclei because the ratio of cell nuclei to cytoplasm increases with increasing cell malig...
A large dataset of white blood cells containing cell locations and types, along with segmented nuclei and cytoplasm.
Scientific reports
Jan 21, 2022
Accurate and early detection of anomalies in peripheral white blood cells plays a crucial role in the evaluation of well-being in individuals and the diagnosis and prognosis of hematologic diseases. For example, some blood disorders and immune system...
Neural network-enhanced real-time impedance flow cytometry for single-cell intrinsic characterization.
Lab on a chip
Jan 18, 2022
Single-cell impedance flow cytometry (IFC) is emerging as a label-free and non-invasive method for characterizing the electrical properties and revealing sample heterogeneity. At present, most IFC studies utilize phenomenological parameters (, impeda...
Segmentation of Overlapping Cervical Cells with Mask Region Convolutional Neural Network.
Computational and mathematical methods in medicine
Oct 4, 2021
The task of segmenting cytoplasm in cytology images is one of the most challenging tasks in cervix cytological analysis due to the presence of fuzzy and highly overlapping cells. Deep learning-based diagnostic technology has proven to be effective in...
Cytoplasmic movements of the early human embryo: imaging and artificial intelligence to predict blastocyst development.
Reproductive biomedicine online
Dec 24, 2020
RESEARCH QUESTION: Can artificial intelligence and advanced image analysis extract and harness novel information derived from cytoplasmic movements of the early human embryo to predict development to blastocyst?
Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments.
Nature communications
Dec 7, 2020
Due to its specificity, fluorescence microscopy has become a quintessential imaging tool in cell biology. However, photobleaching, phototoxicity, and related artifacts continue to limit fluorescence microscopy's utility. Recently, it has been shown t...
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