Cargando…
On-chip label-free cell classification based directly on off-axis holograms and spatial-frequency-invariant deep learning
We present a rapid label-free imaging flow cytometry and cell classification approach based directly on raw digital holograms. Off-axis holography enables real-time acquisition of cells during rapid flow. However, classification of the cells typically requires reconstruction of their quantitative ph...
Autores principales: | Dudaie, Matan, Barnea, Itay, Nissim, Noga, Shaked, Natan T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390541/ https://www.ncbi.nlm.nih.gov/pubmed/37524884 http://dx.doi.org/10.1038/s41598-023-38160-3 |
Ejemplares similares
-
Sperm Inspection for In Vitro Fertilization via Self-Assembled Microdroplet Formation and Quantitative Phase Microscopy
por: Atzitz, Yuval, et al.
Publicado: (2021) -
Dynamic Tomographic Phase Microscopy by Double Six-Pack
Holography
por: Mirsky, Simcha K., et al.
Publicado: (2022) -
Classification of Holograms with 3D-CNN
por: Terbe, Dániel, et al.
Publicado: (2022) -
Wavelet compression of off-axis digital holograms using real/imaginary and amplitude/phase parts
por: Cheremkhin, P. A., et al.
Publicado: (2019) -
Rapid 3D Refractive‐Index Imaging of Live Cells in Suspension without Labeling Using Dielectrophoretic Cell Rotation
por: Habaza, Mor, et al.
Publicado: (2016)