Sandra Martinez

Sandra Martinez

Universidad de Buenos Aires

H-index: 13

Latin America-Argentina

About Sandra Martinez

Sandra Martinez, With an exceptional h-index of 13 and a recent h-index of 9 (since 2020), a distinguished researcher at Universidad de Buenos Aires, specializes in the field of PDE- FEM.

His recent articles reflect a diverse array of research interests and contributions to the field:

SUPPOSe 3Dge: A Method for Super-Resolved Detection of Surfaces in Volumetric Fluorescence Microscopy

PSF‐Radon transform algorithm: Measurement of the point‐spread function from the Radon transform of the line‐spread function

Resolution, accuracy and precision in super-resolved microscopy images using SUPPOSe

Combining deep learning with SUPPOSe and compressed sensing for SNR-enhanced localization of overlapping emitters

SUPPOSe Deconvolution+ AI Denoising: Super-resolving Sparse Signals Blurred and Buried in Noise

Assessing the Reliability of the Suppose Enhanced Deconvolution Method Applied to Different Fluorescent Imaging Techniques

Solving the boundary artifact for the enhanced deconvolution algorithm SUPPOSe applied to fluorescence microscopy

Fuentes de error, artificios, aceleración y validación del algoritmo de deconvolución con super-resolución para imágenes de microscopía [Not available in English]

Sandra Martinez Information

University

Position

-CONICET

Citations(all)

565

Citations(since 2020)

207

Cited By

438

hIndex(all)

13

hIndex(since 2020)

9

i10Index(all)

15

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Sandra Martinez Skills & Research Interests

PDE- FEM

Top articles of Sandra Martinez

SUPPOSe 3Dge: A Method for Super-Resolved Detection of Surfaces in Volumetric Fluorescence Microscopy

Journal of Optics and Photonics Research

2024/4/2

PSF‐Radon transform algorithm: Measurement of the point‐spread function from the Radon transform of the line‐spread function

Microscopy Research and Technique

2024/2/28

Resolution, accuracy and precision in super-resolved microscopy images using SUPPOSe

Optics and Lasers in Engineering

2023/2/1

Combining deep learning with SUPPOSe and compressed sensing for SNR-enhanced localization of overlapping emitters

Applied Optics

2022/3/1

SUPPOSe Deconvolution+ AI Denoising: Super-resolving Sparse Signals Blurred and Buried in Noise

2021/5/9

Assessing the Reliability of the Suppose Enhanced Deconvolution Method Applied to Different Fluorescent Imaging Techniques

Biophysical Journal

2021/2/12

Solving the boundary artifact for the enhanced deconvolution algorithm SUPPOSe applied to fluorescence microscopy

Компьютерная оптика

2021

Fuentes de error, artificios, aceleración y validación del algoritmo de deconvolución con super-resolución para imágenes de microscopía [Not available in English]

2020/12/1

Super-resolution microscopy from standard images

Optics and Photonics News

2020/12/1

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

Optics Express

2020/8/17

A new objective function for super-resolution deconvolution of microscopy images by means of a genetic algorithm

2020/7/8

Progress in Super-Resolution from a Single Fluorescent Image Using the SUPPOSe Algorithm

Microscopy and Microanalysis

2020/3

See List of Professors in Sandra Martinez University(Universidad de Buenos Aires)

Co-Authors

academic-engine