Cargando…
Recent Approaches to Design and Analysis of Electrical Impedance Systems for Single Cells Using Machine Learning
Individual cells have many unique properties that can be quantified to develop a holistic understanding of a population. This can include understanding population characteristics, identifying subpopulations, or elucidating outlier characteristics that may be indicators of disease. Electrical impedan...
Autores principales: | Ferguson, Caroline, Zhang, Yu, Palego, Cristiano, Cheng, Xuanhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346645/ https://www.ncbi.nlm.nih.gov/pubmed/37447838 http://dx.doi.org/10.3390/s23135990 |
Ejemplares similares
-
Single-Cell Classification Based on Population Nucleus Size Combining Microwave Impedance Spectroscopy and Machine Learning
por: Ferguson, Caroline A., et al.
Publicado: (2023) -
Recent Advances in Electrical Impedance Sensing Technology for Single-Cell Analysis
por: Zhang, Zhao, et al.
Publicado: (2021) -
Muscle Mass Measurement Using Machine Learning Algorithms with Electrical Impedance Myography
por: Cheng, Kuo-Sheng, et al.
Publicado: (2022) -
Classification of Wood Chips Using Electrical Impedance Spectroscopy and Machine Learning
por: Tiitta, Markku, et al.
Publicado: (2020) -
Electrical Impedance Characterization of in Vivo Porcine Tissue Using Machine Learning
por: Chiang, Stephen, et al.
Publicado: (2021)