TMA-Mate: An open-source modular toolkit for constructing tissue microarrays of arbitrary layouts

被引:2
作者
Pazaitis, Nikolaos [1 ]
Kaiser, Alexandra [1 ]
机构
[1] Municipal Hosp Dresden, Inst Pathol Georg Schmorl, Campus Friedrichstadt,Friedrichstr 41, D-01067 Dresden, Germany
来源
HARDWAREX | 2023年 / 14卷
关键词
Tissue microarray (TMA); Histopathology; Histology; Biomarkers; 3D printing; Open-source hardware; HIGH-THROUGHPUT; HIGH-DENSITY; CORE BIOPSIES; CELL; PERFORMANCE; TECHNOLOGY; VALIDATION; HER2;
D O I
10.1016/j.ohx.2023.e00419
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Biomedical research and quality control procedures often demand a variety of microscopic analysis of numerous formalin-fixed and paraffin-embedded (FFPE) tissue samples from different individuals of both healthy and diseased regions of interest. Depending on the number of samples to be analyzed, conventional processing of each FFPE block separately can be laborious or impracticable. This effort can be drastically reduced by using tissue microarrays (TMAs). TMAs have a wide range of applications and can be considered as a high-throughput method to process up to hundreds of miniaturized tissue samples simultaneously on a single microscopy slide, in order to reduce labor, costs and sample consumption, and to increase results comparability. Several commercial and self-made solutions to fabricate TMAs with varying degrees of automation are available. However, these solutions may not be suitable for every situation, either due to high costs, high complexity, lack of precision or lack of flexibility, especially when diagnostically oriented pathology institutes or laboratories with constrained resources are considered. This article introduces the TMA-Mate, an open-source 3D printable modular toolkit for constructing high-density TMAs of arbitrary layouts, providing an affordable, lightweight, and accessible procedure to implement TMAs into existing histology processing pipelines. Step-by-step demonstrations for replicating the hardware and constructing TMAs are included.& COPY; 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
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页数:20
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共 47 条
  • [1] High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium
    Abubakar, Mustapha
    Howat, William J.
    Daley, Frances
    Zabaglo, Lila
    McDuffus, Leigh-Anne
    Blows, Fiona
    Coulson, Penny
    Ali, H. Raza
    Benitez, Javier
    Milne, Roger
    Brenner, Herman
    Stegmaier, Christa
    Mannermaa, Arto
    Chang-Claude, Jenny
    Rudolph, Anja
    Sinn, Peter
    Couch, Fergus J.
    Tollenaar, Rob A. E. M.
    Devilee, Peter
    Figueroa, Jonine
    Sherman, Mark E.
    Lissowska, Jolanta
    Hewitt, Stephen
    Eccles, Diana
    Hooning, Maartje J.
    Hollestelle, Antoinette
    Martens, John W. M.
    van Deurzen, Carolien H. M.
    Bolla, Manjeet K.
    Wang, Qin
    Jones, Michael
    Schoemaker, Minouk
    Broeks, Annegien
    van Leeuwen, Flora E.
    Van't Veer, Laura
    Swerdlow, Anthony J.
    Orr, Nick
    Dowsett, Mitch
    Easton, Douglas
    Schmidt, Marjanka K.
    Pharoah, Paul D.
    Garcia-Closas, Montserrat
    [J]. JOURNAL OF PATHOLOGY CLINICAL RESEARCH, 2016, 2 (03): : 138 - 153
  • [2] Construction of tissue microarrays from core needle biopsies - a systematic literature review
    Albanghali, Mohammad
    Green, Andrew
    Rakha, Emad
    Aleskandarany, Mohamed
    Nolan, Chris
    Ellis, Ian
    Cheung, Kwok-Leung
    [J]. HISTOPATHOLOGY, 2016, 68 (03) : 323 - 332
  • [3] Baker Gabrielle M, 2022, J Pathol Inform, V13, P100118, DOI 10.1016/j.jpi.2022.100118
  • [4] BATTIFORA H, 1986, LAB INVEST, V55, P244
  • [5] Cell and Tissue Microarray Technologies for Protein and Nucleic Acid Expression Profiling
    Cardano, Marina
    Diaferia, Giuseppe R.
    Falavigna, Maurizio
    Spinelli, Chiara C.
    Sessa, Fausto
    DeBlasio, Pasquale
    Biunno, Ida
    [J]. JOURNAL OF HISTOCHEMISTRY & CYTOCHEMISTRY, 2013, 61 (02) : 116 - 124
  • [6] MALDI IMS and Cancer Tissue Microarrays
    Casadonte, R.
    Longuespee, R.
    Kriegsmann, J.
    Kriegsmann, M.
    [J]. APPLICATIONS OF MASS SPECTROMETRY IMAGING TO CANCER, 2017, 134 : 173 - 200
  • [7] An introduction of an easy-operating and economical technique for tissue microarray preparation
    Chen, Yi-Jing
    Yang, Chun-Mei
    Huang, Jiang-Sheng
    Wang, Ping
    Lv, Yan-Hua
    Tang, Cheng
    Deng, Wei
    [J]. JOURNAL OF CLINICAL PATHOLOGY, 2020, 73 (07) : 403 - 407
  • [8] Construction of High-Density Tissue Microarrays at Low Cost by Using Self-Made Manual Microarray Kits and Recipient Paraffin Blocks
    Choi, Chang Hwan
    Kim, Kyu Ho
    Song, Ju Young
    Choi, Suk Jin
    Kim, Lucia
    Park, In Suh
    Han, Jee Young
    Kim, Joon Mee
    Chu, Young Chae
    [J]. KOREAN JOURNAL OF PATHOLOGY, 2012, 46 (06) : 562 - 568
  • [9] Prostate cancer biobanking
    Dhir, Rajiv
    [J]. CURRENT OPINION IN UROLOGY, 2008, 18 (03) : 309 - 314
  • [10] Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
    Egeland, Nina Gran
    Jonsdottir, Kristin
    Lauridsen, Kristina Lystlund
    Skaland, Ivar
    Hjorth, Cathrine F.
    Gudlaugsson, Einar G.
    Hamilton-Dutoit, Stephen
    Lash, Timothy L.
    Cronin-Fenton, Deirdre
    Janssen, Emiel A. M.
    [J]. CLINICAL EPIDEMIOLOGY, 2020, 12 : 771 - 781