.png){kind=icon}
Return
Implementation of reflection matrix microscopy: an algorithm perspective
.png){kind=icon}
OA
AI
DOI：10.1088/2515-7647/adb7af.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Over the past decade, reflection matrix microscopy (RMM) and advanced image reconstruction algorithms have emerged to address the fundamental imaging depth limitations of optical microscopy in thick biological tissues and complex media. In this study, we introduce significant advancements in reflection matrix processing algorithms, including logical indexing, power iterations, and low-frequency blocking. These enhance the processing speed of aperture synthesis, 3D image reconstruction, and aberration correction by orders of magnitude. Detailed algorithm implementations, along with experimental data, are provided to facilitate the widespread adoption of RMM in various deep-tissue imaging applications.
Keywords:
reflection matrix microscopy
CLASS algorithm
adaptive optics
Journal
J
IF:
8.4
Papers:
125
Citations:
1.4K
Organization
Cited Papers
ShareSaveShareSaveShareSaveTracing multiple scattering trajectories for deep optical imaging in scattering media.png)
NATURE COMMUNICATIONS
OAAI
NATURE COMMUNICATIONSIF15.7
OAAIShareSaveComputational adaptive optics for broadband optical interferometric tomography of biological tissueOAAI
OAAIShareSaveSecond-harmonic generation microscopy with synthetic aperture and computational adaptive opticsOPTICAOAAI
OPTICAIF8.5
OAAIShareSaveShareSaveShareSave
View more