Cargando…
A Contact-Imaging Based Microfluidic Cytometer with Machine-Learning for Single-Frame Super-Resolution Processing
Lensless microfluidic imaging with super-resolution processing has become a promising solution to miniaturize the conventional flow cytometer for point-of-care applications. The previous multi-frame super-resolution processing system can improve resolution but has limited cell flow rate and hence lo...
Autores principales: | Huang, Xiwei, Guo, Jinhong, Wang, Xiaolong, Yan, Mei, Kang, Yuejun, Yu, Hao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4128713/ https://www.ncbi.nlm.nih.gov/pubmed/25111497 http://dx.doi.org/10.1371/journal.pone.0104539 |
Ejemplares similares
-
Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting
por: Huang, Xiwei, et al.
Publicado: (2016) -
A Parallel Microfluidic Flow Cytometer for High Content Screening
por: McKenna, Brian K., et al.
Publicado: (2011) -
Sizing biological cells using a microfluidic acoustic flow cytometer
por: Strohm, Eric M., et al.
Publicado: (2019) -
Label-Free Assessment of the Drug Resistance of Epithelial
Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer
Boosted through Machine Learning
por: Xin, Lu, et al.
Publicado: (2021) -
Single-frame deep-learning super-resolution microscopy for intracellular dynamics imaging
por: Chen, Rong, et al.
Publicado: (2023)