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MicroHikari3D:一个具有深度学习能力的自动化自制数字显微镜平台。

MicroHikari3D: an automated DIY digital microscopy platform with deep learning capabilities.

作者信息

Salido J, Toledano P T, Vallez N, Deniz O, Ruiz-Santaquiteria J, Cristobal G, Bueno G

机构信息

VISILAB Group, Universidad de Castilla-La Mancha, 13005 Ciudad Real, Spain.

Instituto de Optica (CSIC), Serrano 121, Madrid, Spain.

出版信息

Biomed Opt Express. 2021 Nov 1;12(11):7223-7243. doi: 10.1364/BOE.439014.

Abstract

A microscope is an essential tool in biosciences and production quality laboratories for unveiling the secrets of microworlds. This paper describes the development of MicroHikari3D, an affordable DIY optical microscopy platform with automated sample positioning, autofocus and several illumination modalities to provide a high-quality flexible microscopy tool for labs with a short budget. This proposed optical microscope design aims to achieve high customization capabilities to allow whole 2D slide imaging and observation of 3D live specimens. The MicroHikari3D motion control system is based on the entry level 3D printer kit Tronxy X1 controlled from a server running in a Raspberry Pi 4. The server provides services to a client mobile app for video/image acquisition, processing, and a high level classification task by applying deep learning models.

摘要

显微镜是生物科学和生产质量实验室中揭示微观世界秘密的重要工具。本文介绍了MicroHikari3D的开发,这是一个价格实惠的DIY光学显微镜平台,具有自动样品定位、自动对焦和多种照明模式,可为预算有限的实验室提供高质量的灵活显微镜工具。该光学显微镜设计旨在实现高度定制化,以允许进行整个二维载玻片成像和三维活体标本观察。MicroHikari3D运动控制系统基于入门级3D打印机套件Tronxy X1,由运行在Raspberry Pi 4上的服务器控制。该服务器为客户端移动应用程序提供服务,用于视频/图像采集、处理以及通过应用深度学习模型进行高级分类任务。

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