Mathematical Microscopy

Jean-Christophe Olivo-Marin

doi:10.1364/COSI.2016.CM3D.1

Imaging and Applied Optics 2016
OSA Technical Digest (online) (Optica Publishing Group, 2016),
paper CM3D.1
•https://doi.org/10.1364/COSI.2016.CM3D.1

Mathematical Microscopy

Jean-Christophe Olivo-Marin

Computational Optical Sensing and Imaging 2016

Heidelberg Germany
25–28 July 2016
ISBN: 978-1-943580-15-6

From the session
Microscopy Techniques (CM3D)

Open Access

Get PDF
Email
Share
Get Citation
Copy Citation Text
J. Olivo-Marin, "Mathematical Microscopy," in Imaging and Applied Optics 2016, OSA Technical Digest (online) (Optica Publishing Group, 2016), paper CM3D.1.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

We will present recent work on Structured Illumination Microscopy (SIM) that is based on a Bayesian inverse problem formulation approach and then show how compressive sensing can be used as a denoising tool in bioimaging.

PDF Article

More Like This

The Mathematical Arsenal of Super-resolution Microscopy

Rafael Piestun
MTh2H.1 Mathematics in Imaging (MATH) 2016

Adaptive Optics for Superresolution Fluorescence Microscopy

P. Kner
AOM2F.1 Adaptive Optics: Analysis, Methods & Systems (AO) 2015

Superresolution Confocal Microscopy via Analogy with Structured Illumination Microscopy

Shinichi Hayashi
15a_C31_5 JSAP-OSA Joint Symposia (JSAP) 2016

Previous Article Next Article