DEEP-TFM Figure 4 Data

NIAID Data Ecosystem2026-03-12 收录

散射介质成像

宽场成像

数据链接：

https://zenodo.org/record/4769096 数据链接链接失效反馈

官方服务：

资源简介：

Data used in Figure 4 of the article titled "De-scattering with Excitation Patterning (DEEP) Enables Rapid Wide-field Imaging Through Scattering Media"

创建时间：

2021-05-18

Mohan_NatNeuro_2022_SampleData

神经科学

宽场成像

Sample Data of Widefield imaging.

DataCite Commons2025-05-01 更新140

Zatka-Haas et al 2020 dataset

神经科学

宽场成像

Dataset from Zatka-Haas et al, 2020, bioRxivhttps://www.biorxiv.org/content/10.1101/501627v3 WidefieldThe Widefield folder contains the following:-Two CSV files detailing information on the mice and

NIAID Data Ecosystem60

Functional imaging through scattering medium via fluorescence speckle demixing and localization - Datasets

荧光显微成像

散射介质成像

Datasets for the results in: F. Soldevila, C. Moretti, T. Nöbauer, H. Sarafraz, A. Vaziri, and S. Gigan, "Functional imaging through scattering medium via fluorescence speckle demixing and lo

Figshare2023-06-09 更新40

Dataset for: Imaging through highly scattering environments using ballistic and quasi-ballistic light in a common-path Sagnac interferometer

散射介质成像

Sagnac干涉仪技术

Research data for article "Imaging through highly scattering environments using ballistic and quasi-ballistic light in a common-path Sagnac interferometer" Dykes, J., Nazer, Z., Mosk, A. P. & Musk

DataCite Commons2020-08-01 更新70

A Dataset of Non-Invasive Deep Learning Methods for Imaging through Dynamic Scattering Media

散射介质成像

深度学习去散射

This data set is the original data set of the paper "Non invasive interactive real-time imaging through dynamic scanning media using deep learning". The research results of this paper are analyzed fro

DataCite Commons2025-02-02 更新50

DEEP-TFM Figure 4 Data

资源简介：

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