ArticleJournal of pathology informatics2012
Tissue microarray design and construction for scientific, industrial and diagnostic use.
Article in Journal of pathology informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- TMA-Mate: An open-source modular toolkit for constructing tissue microarrays of arbitrary layouts.HardwareX · 2023Article
- Evaluation of the DLL3-targeting antibody-drug conjugate rovalpituzumab tesirine in preclinical models of neuroblastoma.Cancer research communications · 2022Article
- Rejuvenated Vintage Tissue Sections Highlight Individual Antigen Fate During Processing and Long-term Storage.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021Article
- The B7-H3-Targeting Antibody-Drug Conjugate m276-SL-PBD Is Potently Effective Against Pediatric Cancer Preclinical Solid Tumor Models.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021Article
- Impact of ERCC1, XPF and DNA Polymerase β Expression on Platinum Response in Patient-Derived Ovarian Cancer Xenografts.Cancers · 2020Article
- ATMAD: robust image analysis for Automatic Tissue MicroArray De-arraying.BMC bioinformatics · 2018Article
- In vitro and in vivo inhibition of breast cancer cell growth by targeting the Hedgehog/GLI pathway with SMO (GDC-0449) or GLI (GANT-61) inhibitors.Oncotarget · 2016Article
- Application of Tissue Microarray Technology to Stem Cell Research.Microarrays (Basel, Switzerland) · 2014Article
- Microcalcifications in breast cancer: an active phenomenon mediated by epithelial cells with mesenchymal characteristics.BMC cancer · 2014Article
- Overview on Techniques to Construct Tissue Arrays with Special Emphasis on Tissue Microarrays.Microarrays (Basel, Switzerland) · 2014Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextIn 2013 the high throughput technology known as Tissue Micro Array (TMA) will be fifteen years old. Its elements (design, construction and analysis) are intuitive and the core histopathology technique is unsophisticated, which may be a reason why has eluded a rigorous scientific scrutiny. The source of errors, particularly in specimen identification and how to control for it is unreported. Formal validation of the accuracy of segmenting (also known as de-arraying) hundreds of samples, pairing with the sample data is lacking.
aimsWe wanted to address these issues in order to bring the technique to recognized standards of quality in TMA use for research, diagnostics and industrial purposes.
resultsWe systematically addressed the sources of error and used barcode-driven data input throughout the whole process including matching the design with a TMA virtual image and segmenting that image back to individual cases, together with the associated data. In addition we demonstrate on mathematical grounds that a TMA design, when superimposed onto the corresponding whole slide image, validates on each and every sample the correspondence between the image and patient's data.
conclusionsHigh throughput use of the TMA technology is a safe and efficient method for research, diagnosis and industrial use if all sources of errors are identified and addressed.
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