Files

TROFYMCHUK ARTEM_3085536_assignsubmission_file_TFG-Trofymchuk-Artem.pdf (1.48 MB)

Document type

Bachelor thesis

Publication date

2021-02

Publication license

cc-by-nc-nd (c) Trofymchuk, Trofymchuk
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/180388

Richardson-Lucy deconvolution for super-resolution imaging in a confocal microscope with programmable illumination

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

Abstract

I have tried a Richardson-Lucy deconvolution algorithm with a simulator of a programmable illumination laser microscope coded in Python for different excitation patterns, concluding that the most resolutive optimization process is for the multi point mode scanning, achieving a resolution below 100nm for a simulated noisy image

Description

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: Mario Montes Usategui

Subject

Algorisme Richardson–Lucy, Microscopi confocal, Treballs de fi de grau

Subject (English)

Richardson–Lucy algorithm, Confocal microscopy, Bachelor's theses

Citation

Collections

Treballs Finals de Grau (TFG) - Física

Citation

TROFYMCHUK, Artem. Richardson-Lucy deconvolution for super-resolution imaging in a confocal microscope with programmable illumination. [consulted: 6 of June of 2026]. Available at: https://hdl.handle.net/2445/180388

Export metadata

JSON - METS

Share record