Cargando…
Cell imaging beyond the diffraction limit using sparse deconvolution spatial light interference microscopy
We present an imaging method, dSLIM, that combines a novel deconvolution algorithm with spatial light interference microscopy (SLIM), to achieve 2.3x resolution enhancement with respect to the diffraction limit. By exploiting the sparsity of the phase images, which is prominent in many biological im...
Autores principales: | Babacan, S. Derin, Wang, Zhuo, Do, Minh, Popescu, Gabriel |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Optical Society of America
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130569/ https://www.ncbi.nlm.nih.gov/pubmed/21750760 http://dx.doi.org/10.1364/BOE.2.001815 |
Ejemplares similares
-
Visualizing Escherichia coli Sub-Cellular Structure Using Sparse Deconvolution Spatial Light Interference Tomography
por: Mir, Mustafa, et al.
Publicado: (2012) -
Noise-robust phase-space deconvolution for light-field microscopy
por: Zhu, Tianyi, et al.
Publicado: (2022) -
Accelerating 3D single-molecule localization microscopy using blind sparse inpainting
por: Gaire, Sunil Kumar, et al.
Publicado: (2021) -
Blood testing at the single cell level using quantitative phase and amplitude microscopy
por: Mir, Mustafa, et al.
Publicado: (2011) -
Background-free deep imaging by spatial overlap modulation nonlinear optical microscopy
por: Isobe, Keisuke, et al.
Publicado: (2012)