Integrating optical and electrical sensing with machine learning for advanced particle characterization

Particle classification plays a crucial role in various scientific and technological applications, such as differentiating between bacteria and viruses in healthcare applications or identifying and classifying cancer cells. This technique requires accurate and efficient analysis of particle properti...

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Veröffentlicht in:	Biomedical microdevices 2024-06, Vol.26 (2), p.25, Article 25
Hauptverfasser:	Kokabi, Mahtab, Tayyab, Muhammad, Rather, Gulam M., Pournadali Khamseh, Arastou, Cheng, Daniel, DeMauro, Edward P., Javanmard, Mehdi
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Biological and Medical Physics Biomedical Engineering and Bioengineering Biophysics Biosensors Cancer Classification Electrodes Engineering Engineering Fluid Dynamics Flow cytometry Human error Imaging techniques Learning algorithms Machine Learning Medical personnel Nanotechnology Optical Imaging Optical properties Sensory integration Silicon wafers
Online-Zugang:	Volltext
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