Super-resolution imaging in 2D and 3D using the SUPPOSe algorithm based on approximating the imaged object by a superposition of point sources
Abstract
The super-resolution algorithm named SUPPOSe based on approximating the imaged object by a superposition of point sources has been recently presented by the applicant group. It has been successfully applied to deconvolution of fluorescent microscopic images in 2D obtaining a tenth-wave resolution, breaking the diffraction limit without any special instrumentation. This technique opens a large spectrum of opportunities in all type of images reconstructions with super-resolution because the algorithm does not require highly sophisticated instrumentation as in STED microscopy nor multiple images for reconstruction as in STORM and PALM. It can be performed with a single shot in standard equipment.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 19, 2018
- Source ID
- FA95501810470
Entities
People
- Oscar Martinez
Organizations
- Air Force Office of Scientific Research
- United States Air Force