Super-resolved edge detection in optical microscopy images by superposition of virtual point sources
Abstract
A new approach to the edge detection problem is presented which is specially designed to achieve high accuracy detection, below instrumental resolution (super resolution) in microscopy images. The method is based in a modified version of a recently published algorithm known as SUPPOSe, which performs a numerical reconstruction of an image as a superposition of virtual point sources. The method was tested in simulated and experimental optical microscopy images and compared to the standard Laplacian of Gaussian algorithm, showing huge differences when the size of the object is smaller than the lateral resolution provided by the instrument.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 12, 2020
- Source ID
- 10.1364/oe.397125
Entities
People
- Guillermo D. Brinatti Vazquez
- Oscar E. Martinez
- Sandra Martı́nez
Organizations
- Agencia Nacional de Promoción Científica y Tecnológica
- Air Force Office of Scientific Research
- University of Buenos Aires