High‐Throughput, Living Single‐Cell, Multiple Secreted Biomarker Profiling Using Microfluidic Chip and Machine Learning for Tumor Cell Classification
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Healthcare Materials"
DOI: 10.1002/adhm.202102800
Abstract: Secreted proteins provide abundant functional information on living cells and can be used as important tumor diagnostic markers, of which profiling at the single‐cell level is helpful for accurate tumor cell classification. Currently, achieving living… read more here.
Keywords: living single; cell; cell classification; single cell ... See more keywords
Single cell transcriptomics in neuroscience: cell classification and beyond
Sign Up to like & getrecommendations! Published in 2018 at "Current Opinion in Neurobiology"
DOI: 10.1016/j.conb.2018.04.021
Abstract: Biology has been facing a daunting problem since the cell was understood to be the building block of metazoans: how do we study multicellular systems, when a universal approach to characterize their building blocks and… read more here.
Keywords: single cell; cell classification; cell transcriptomics; neuroscience ... See more keywords
Non-invasive cell classification using the Paint Raman Express Spectroscopy System (PRESS)
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-88056-3
Abstract: Raman scattering represents the distribution and abundance of intracellular molecules, including proteins and lipids, facilitating distinction between cellular states non-invasively and without staining. However, the scattered light obtained from cells is faint and cells have… read more here.
Keywords: cell classification; system; spectroscopy; cell ... See more keywords
Adversarial dense graph convolutional networks for single-cell classification
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad043
Abstract: Abstract Motivation In single-cell transcriptomics applications, effective identification of cell types in multicellular organisms and in-depth study of the relationships between genes has become one of the main goals of bioinformatics research. However, data heterogeneity… read more here.
Keywords: cell; cell classification; adversarial dense; single cell ... See more keywords
Malaria Disease Cell Classification With Highlighting Small Infected Regions
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3245025
Abstract: Deep learning-based methods have become an active research area in medical imaging. Malaria is diagnosed by testing red blood cells. Deep learning methods can be used to distinguish malaria infected cell images from non-infected cell… read more here.
Keywords: cell; cell images; cell classification; classification ... See more keywords
Blood Cell Classification Based on Hyperspectral Imaging With Modulated Gabor and CNN
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2905623
Abstract: Cell classification, especially that of white blood cells, plays a very important role in the field of diagnosis and control of major diseases. Compared to traditional optical microscopic imaging, hyperspectral imagery, combined with both spatial… read more here.
Keywords: blood cell; cell classification; classification; cnn ... See more keywords
A Multi-Task Feature Fusion Model for Cervical Cell Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3180989
Abstract: Cervical cell classification is a crucial technique for automatic screening of cervical cancer. Although deep learning has greatly improved the accuracy of cell classification, the performance still cannot meet the needs of practical applications. To… read more here.
Keywords: classification; feature fusion; cell classification; task ... See more keywords
Cell ontology in an age of data-driven cell classification
Sign Up to like & getrecommendations! Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1980-6
Abstract: BackgroundData-driven cell classification is becoming common and is now being implemented on a massive scale by projects such as the Human Cell Atlas. The scale of these efforts poses a challenge. How can the results… read more here.
Keywords: driven cell; cell classification; ontology; data driven ... See more keywords