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images for training of "Locations" model of Rios et al. J Gen Physiol 2024

NIAID Data Ecosystem2026-05-02 收录

生物医学图像分析

细胞核定位

数据链接：

https://doi.org/10.7910/DVN/2VOMKV 数据链接链接失效反馈

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资源简介：

147 Images used for training of "locations" model (Rios et al. J Gen Physiol 2024) deposited together with their label masks (

应用场景：

创建时间：

2024-05-22

细胞器分割

生物医学图像分析

This acquisition is part of the CellMap 2024 Segmentation Challenge Challenge DOI: https://doi.org/10.25378/janelia.c.7456966 Challenge Website: https://cellmapchallenge.janelia.org

DataCite Commons2024-12-17 更新100

CIL:28740

图像处理

生物医学图像分析

One of the principal challenges in counting or segmenting nuclei is dealing with clustered nuclei. To help assess algorithms' performance in this regard, this synthetic image set consists of five subs

DataCite Commons2020-09-05 更新70

Performance comparison of segmentation methods on the Lucchi++ dataset.

生物医学图像分析

算法评估

Performance comparison of segmentation methods on the Lucchi++ dataset.

Figshare2024-11-26 更新50

Supplementary Video 1

生物医学图像分析

心率监测

Supplementary video one provides an example of segementation of a larval heart that is not undergoing light stimulation, meaning no major changes in heart rate. The left side provides the segmented gr

Mendeley Data2024-06-29 更新100

Importance of the Cet1p-Ceg1p interaction for nuclear localization of the Cet1p-Ceg1p complex.

蛋白质相互作用

细胞核定位

(A) GST pull-down assay. A GST pull-down assay was performed using GST (or GST-Ceg1p OB domain) and Cet1p (or Cet1(4A)p) translated in rabbit reticulocyte lysate with [35S]-methionine. GST pull-downs

NIAID Data Ecosystem50

images for training of "Locations" model of Rios et al. J Gen Physiol 2024

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