Academic Journal

Enhancing quantitative imaging to study DNA damage response:A guide to automated liquid handling and imaging

التفاصيل البيبلوغرافية
العنوان: Enhancing quantitative imaging to study DNA damage response:A guide to automated liquid handling and imaging
المؤلفون: Lo, Calvin Shun Yu, Taneja, Nitika, Ray Chaudhuri, Arnab
المصدر: Lo , C S Y , Taneja , N & Ray Chaudhuri , A 2024 , ' Enhancing quantitative imaging to study DNA damage response : A guide to automated liquid handling and imaging ' , DNA Repair , vol. 144 , 103769 . https://doi.org/10.1016/j.dnarep.2024.103769
سنة النشر: 2024
الوصف: Laboratory automation and quantitative high-content imaging are pivotal in advancing diverse scientific fields. These innovative techniques alleviate the burden of manual labour, facilitating large-scale experiments characterized by exceptional reproducibility. Nonetheless, the seamless integration of such systems continues to pose a constant challenge in many laboratories. Here, we present a meticulously designed workflow that automates the immunofluorescence staining process, coupled with quantitative high-content imaging to study DNA damage signalling as an example. This is achieved by using an automatic liquid handling system for sample preparation. Additionally, we also offer practical recommendations aimed at ensuring the reproducibility and scalability of experimental outcomes. We illustrate the high level of efficiency and reproducibility achieved through the implementation of the liquid handling system but also addresses the associated challenges. Furthermore, we extend the discussion into critical aspects such as microscope selection, optimal objective choices, and considerations for high-content image acquisition. Our study streamlines the image analysis process, offering valuable recommendations for efficient computing resources and the integration of cutting-edge deep learning techniques. Emphasizing the paramount importance of robust data management systems aligned with the FAIR data principles, we provide practical insights into suitable storage options and effective data visualization techniques. Together, our work serves as a comprehensive guide for life science laboratories seeking to elevate their high-content quantitative imaging capabilities through the seamless integration of advanced laboratory automation.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1016/j.dnarep.2024.103769
الاتاحة: https://pure.eur.nl/en/publications/88d5c36d-16fc-4623-8bdb-9aff10a9f045
https://doi.org/10.1016/j.dnarep.2024.103769
http://www.scopus.com/inward/record.url?scp=85205946837&partnerID=8YFLogxK
Rights: info:eu-repo/semantics/closedAccess
رقم الانضمام: edsbas.5878B9DD
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.dnarep.2024.103769