EMPIAR-13952 - WINSdata ROI crops of synchrotron micro-CT applied to the human placenta; EMBO Course 2026 - Volume-Segmantics Training Dataset [4 reconstructed volumes in TIFF format]

EMPIAR-13952

WINSdata ROI crops of synchrotron micro-CT applied to the human placenta; EMBO Course 2026 - Volume-Segmantics Training Dataset [4 reconstructed volumes in TIFF format]

Publication:

A massively multi-scale approach to characterising tissue architecture by synchrotron micro-CT applied to the human placenta

Tun W. M, Poologasundarampillai G, Bischof H, Nye G, King O. N. F, Basham M, Tokudome Y, Lewis R. M, Johnstone E. D, Brownbill P, Darrow M, Chernyavsky I. L

The Royal Society 179 (2021)

DOI: 10.1098/rsif.2021.0140

Related EMDB entry:

Deposited:

2026-09-15

Released:

2026-09-18

Last modified:

2026-09-18

Imageset size:

1.12 GB

Imageset DOI:

10.6019/EMPIAR-13952

Experimental metadata:

Download xml json

Contains:

reconstructed volumes

Image Sets

1. Human Placenta Dataset; WINSdata 256cube ROI Image alongside paired Villi and Vessel data, and 700cube unlabelled image data

Category:

reconstructed volumes

Image format:

TIFF

No. of images or tilt series:

Image size:

(None, None)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(None, None)

Details:

Four files; all taken from much larger scan volume for the purposes of a tutorial demonstration. Three 256cube files contain one image and two label files that overlap; Villi corresponds to the villous tree network and Vessels corresponds to the nested blood vessels network. These data are to be used as training data for volume semantic segmentation, and the 700cube to be used as a prediction volume (testing relative models from 256cube data).

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