Cargando…
Label-free classification of cultured cells through diffraction imaging
Automated classification of biological cells according to their 3D morphology is highly desired in a flow cytometer setting. We have investigated this possibility experimentally and numerically using a diffraction imaging approach. A fast image analysis software based on the gray level co-occurrence...
Autores principales: | Dong, Ke, Feng, Yuanming, Jacobs, Kenneth M., Lu, Jun Q., Brock, R. Scott, Yang, Li V., Bertrand, Fred E., Farwell, Mary A., Hu, Xin-Hua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114236/ https://www.ncbi.nlm.nih.gov/pubmed/21698031 http://dx.doi.org/10.1364/BOE.2.001717 |
Ejemplares similares
-
Effective 3D viscoelasticity of red blood cells measured by diffraction phase microscopy
por: Wang, Ru, et al.
Publicado: (2011) -
Position-referenced microscopy for live cell culture monitoring
por: Galeano Z., July A., et al.
Publicado: (2011) -
Towards robust cellular image classification: theoretical foundations for wide-angle
scattering pattern analysis
por: Pilarski, Patrick M., et al.
Publicado: (2010) -
Application of quantitative cell imaging using label-free optical diffraction tomography
por: Pack, Chan-Gi
Publicado: (2021) -
Physicochemical Properties of Nucleoli in Live Cells Analyzed by Label-Free Optical Diffraction Tomography
por: Kim, Tae-Keun, et al.
Publicado: (2019)