Super-resolved edge detection in optical microscopy images by superposition of virtual point sources

BRINATTI VAZQUEZ, GUILLERMO; MARTINEZ, SANDRA; MARTINEZ, OSCAR EDUARDO

OPTICS EXPRESS

OPTICAL SOC AMER

Lugar: Washington; Año: 2020

1094-4087

A new approach to the edge detection problem is presented which is speciallydesigned to achieve high accuracy detection, below instrumental resolution (super resolution) inmicroscopy images. The method is based in a modified version of a recently published algorithmknown as SUPPOSe, which performs a numerical reconstruction of an image as a superpositionof virtual point sources. The method was tested in simulated and experimental optical microscopyimages and compared to the standard Laplacian of Gaussian algorithm, showing huge differenceswhen the size of the object is smaller than the lateral resolution provided by the instrument.