A sample and data management system for µCT-based X-ray histology
A sample and data management system for µCT-based X-ray histology
While setting up a facility for X-ray histology (XRH) [1] in Southampton the challenge arose of how to manage samples, data and associated metadata. This is challenging as the same sample can be analysed multiple times in different states and different modalities including micro-computed tomography (μCT), conventional (2D) thin section-based histology/whole-slide imaging or immunohistochemistry. A fresh piece of tissue may be imaged, frozen, imaged, embedded in paraffin wax, imaged, and sectioned and processed using histological techniques, all of which needs to be included attached in the sample record. Moreover, sample and data management system needed to be user-friendly. These requirements have led to the development of XRHMS, a management system to keep track of all samples within the facility, their data and their metadata, as summarised in Figure 1. Metadata of interest about the sample includes details about the tissue type and origin, preparation, storage requirements and current location.
Figure 1 Information included in XRHMS
The combination of storing raw / processed image data and metadata requires careful architectural decisions, and is built on previous work in this area [2] and uses a database for the metadata and file system for the µCT data. The system can store data from multiple different acquisition systems and digitised histological slides, and is designed to be easily extensible. The XRHMS provides full tracking and accounting of all samples/data/processes and enables cross-linking between related datasets.
The XRHMS also forms the basis for automation of data processing, with preview images and slices generated automatically, as well as performing basic pre-processing, with additional features planned. The system can generate summary reports about the samples containing information about the scans performed and related images. These provide a useful overview of the scan and data interpretation guidance for people not familiar with the technique or viewing 3D datasets.
Basford, Philip J
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Konstantinopoulou, Elena
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Katsamenis, Orestis L.
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Boardman, Richard
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Schneider, Philipp
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Lackie, Peter
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Cox, Simon
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3 September 2020
Basford, Philip J
efd8fbec-4a5f-4914-bf29-885b7f4677a7
Konstantinopoulou, Elena
e8a122d9-8419-496a-8cad-5714292cf843
Katsamenis, Orestis L.
8553e7c3-d860-4b7a-a883-abf6c0c4b438
Boardman, Richard
5818d677-5732-4e8a-a342-7164dbb10df1
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Lackie, Peter
4afbbe1a-22a6-4ceb-8cad-f3696dc43a7a
Cox, Simon
0e62aaed-24ad-4a74-b996-f606e40e5c55
Basford, Philip J, Konstantinopoulou, Elena, Katsamenis, Orestis L., Boardman, Richard, Schneider, Philipp, Lackie, Peter and Cox, Simon
(2020)
A sample and data management system for µCT-based X-ray histology.
Tomography for Scientific Advancement - 10th Edition, Online.
Record type:
Conference or Workshop Item
(Poster)
Abstract
While setting up a facility for X-ray histology (XRH) [1] in Southampton the challenge arose of how to manage samples, data and associated metadata. This is challenging as the same sample can be analysed multiple times in different states and different modalities including micro-computed tomography (μCT), conventional (2D) thin section-based histology/whole-slide imaging or immunohistochemistry. A fresh piece of tissue may be imaged, frozen, imaged, embedded in paraffin wax, imaged, and sectioned and processed using histological techniques, all of which needs to be included attached in the sample record. Moreover, sample and data management system needed to be user-friendly. These requirements have led to the development of XRHMS, a management system to keep track of all samples within the facility, their data and their metadata, as summarised in Figure 1. Metadata of interest about the sample includes details about the tissue type and origin, preparation, storage requirements and current location.
Figure 1 Information included in XRHMS
The combination of storing raw / processed image data and metadata requires careful architectural decisions, and is built on previous work in this area [2] and uses a database for the metadata and file system for the µCT data. The system can store data from multiple different acquisition systems and digitised histological slides, and is designed to be easily extensible. The XRHMS provides full tracking and accounting of all samples/data/processes and enables cross-linking between related datasets.
The XRHMS also forms the basis for automation of data processing, with preview images and slices generated automatically, as well as performing basic pre-processing, with additional features planned. The system can generate summary reports about the samples containing information about the scans performed and related images. These provide a useful overview of the scan and data interpretation guidance for people not familiar with the technique or viewing 3D datasets.
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tosca2020-xrhms
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Published date: 3 September 2020
Venue - Dates:
Tomography for Scientific Advancement - 10th Edition, Online, 2020-09-03
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Local EPrints ID: 448103
URI: http://eprints.soton.ac.uk/id/eprint/448103
PURE UUID: b06a26a8-b78f-45aa-9406-c3b0784a6206
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Date deposited: 01 Apr 2021 15:59
Last modified: 17 Mar 2024 03:34
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Author:
Elena Konstantinopoulou
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