首页/数据集/(Strobl2022A-DS0004) Ceratitis capitata TREhs43-hid^Ala5_F1m2 live imaging data acquired with LSFM

(Strobl2022A-DS0004) Ceratitis capitata TREhs43-hid^Ala5_F1m2 live imaging data acquired with LSFM

NIAID Data Ecosystem2026-03-13 收录

活体成像

地中海实蝇研究

数据链接：

https://zenodo.org/record/5883671 数据链接链接失效反馈

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资源简介：

(Strobl2022A-DS0004) Ceratitis capitata TREhs43-hidAla5_F1m2 live imaging data acquired with light sheet fluorescence microscopy

应用场景：

创建时间：

2022-05-06

活体成像

疾病进展量化

Non-invasive in vivo imaging is emerging as an important tool for basic and preclinical research. Near-infrared (NIR) fluorescence dyes and probes have been used for non-invasive optical imaging since

NIAID Data Ecosystem40

Defining the Intravital Renal Disposition of Fluorescence-Quenched Exenatide

药代动力学

活体成像

Despite the understanding that renal clearance is pivotal for driving the pharmacokinetics of numerous therapeutic proteins and peptides, the specific processes that occur following glomerular filtrat

Figshare2023-02-06 更新40

Data from: Beauty is more than skin deep: a non-invasive protocol for in vivo anatomical study using micro-CT

活体成像

生态学与进化

Microcomputed tomography (μCT) is a widely used tool in biomedical research, employed to investigate tissues and bone structures of small mammals in vivo. The application of in vivo μCT scanning in

DataCite Commons2025-06-01 更新40

Supplementary Material for: In vivo Imaging of the Cerebral Endothelial Glycocalyx in Mice

内皮糖萼

活体成像

Background/Aims: Endothelial glycocalyx refers to the proteoglycan or glycoprotein layer of vessel walls and has critical physiological functions. Cerebral glycocalyx may have additional

DataCite Commons2020-09-02 更新40

B12 MS2 reporter in Bcd-1X (bcdE1) data

发育基因调控

活体成像

MS2-MCP live imaging data of the synthetic B12 MS2 reporter in Bcd-1X (bcdE1/+) used for the manuscript: Fernandes, Tran et al. Synthetic deconstruction of hunchback regulation by Bicoid

NIAID Data Ecosystem40

(Strobl2022A-DS0004) Ceratitis capitata TREhs43-hid^Ala5_F1m2 live imaging data acquired with LSFM

资源简介：

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