Microscope Upcycling: Transforming legacy microscopes into automated cloud-integrated imaging systems

IF 2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

HardwareX Pub Date : 2025-03-19 DOI:10.1016/j.ohx.2025.e00637

Drew Ehrlich , Yohei Rosen , David F. Parks , Kivilcim Doganyigit , Ryan Fenimore , Samira Vera-Choqqueccota , Sebastian Hernandez , Anna Toledo , David Haussler , Sri Kurniawan , Mircea Teodorescu

引用次数: 0

Abstract

Computerized microscopes improve repeatability, throughput, antisepsis, data analysis and data sharing in the biological laboratory, but these machines are cost-prohibitive in most academic environments. This is a barrier into collecting the large and consistent datasets required for machine learning analyses of microscopy data. We demonstrate hardware modifications and software to bring the features of modern computerized microscopes to decades-old legacy laboratory inverted microscopes. We demonstrate automation of X-Y positioning, focus stacking, image acquisition and image storage.

Abstract Image

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显微镜升级回收：将传统显微镜转变为自动化云集成成像系统

计算机化显微镜提高了生物实验室的重复性、通量、防腐、数据分析和数据共享，但在大多数学术环境中，这些机器的成本过高。这是收集机器学习显微镜数据分析所需的大型一致数据集的障碍。我们演示了硬件修改和软件，将现代计算机显微镜的功能带到几十年前遗留的实验室倒置显微镜。我们演示了X-Y定位、焦点叠加、图像采集和图像存储的自动化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

HardwareX Engineering-Industrial and Manufacturing Engineering

CiteScore

4.10

自引率

18.20%

发文量

124

审稿时长

24 weeks

期刊介绍： HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.