The rise of data-driven microscopy powered by machine learning

IF 1.5 4区 工程技术 Q3 MICROSCOPY
Leonor Morgado, Estibaliz Gómez-de-Mariscal, Hannah S. Heil, Ricardo Henriques
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Abstract

Optical microscopy is an indispensable tool in life sciences research, but conventional techniques require compromises between imaging parameters like speed, resolution, field of view and phototoxicity. To overcome these limitations, data-driven microscopes incorporate feedback loops between data acquisition and analysis. This review overviews how machine learning enables automated image analysis to optimise microscopy in real time. We first introduce key data-driven microscopy concepts and machine learning methods relevant to microscopy image analysis. Subsequently, we highlight pioneering works and recent advances in integrating machine learning into microscopy acquisition workflows, including optimising illumination, switching modalities and acquisition rates, and triggering targeted experiments. We then discuss the remaining challenges and future outlook. Overall, intelligent microscopes that can sense, analyse and adapt promise to transform optical imaging by opening new experimental possibilities.

Abstract Image

由机器学习驱动的数据驱动显微镜技术的兴起。
光学显微镜是生命科学研究中不可或缺的工具,但传统技术需要在速度、分辨率、视野和光毒性等成像参数之间做出妥协。为了克服这些限制,数据驱动显微镜在数据采集和分析之间建立了反馈回路。本综述概述了机器学习如何通过自动图像分析实时优化显微镜。我们首先介绍与显微图像分析相关的关键数据驱动显微镜概念和机器学习方法。随后,我们重点介绍了将机器学习整合到显微镜采集工作流程中的开创性工作和最新进展,包括优化照明、切换模式和采集率,以及触发有针对性的实验。然后,我们将讨论余下的挑战和未来展望。总之,能够感知、分析和适应的智能显微镜有望通过开辟新的实验可能性来改变光学成像。
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来源期刊
Journal of microscopy
Journal of microscopy 工程技术-显微镜技术
CiteScore
4.30
自引率
5.00%
发文量
83
审稿时长
1 months
期刊介绍: The Journal of Microscopy is the oldest journal dedicated to the science of microscopy and the only peer-reviewed publication of the Royal Microscopical Society. It publishes papers that report on the very latest developments in microscopy such as advances in microscopy techniques or novel areas of application. The Journal does not seek to publish routine applications of microscopy or specimen preparation even though the submission may otherwise have a high scientific merit. The scope covers research in the physical and biological sciences and covers imaging methods using light, electrons, X-rays and other radiations as well as atomic force and near field techniques. Interdisciplinary research is welcome. Papers pertaining to microscopy are also welcomed on optical theory, spectroscopy, novel specimen preparation and manipulation methods and image recording, processing and analysis including dynamic analysis of living specimens. Publication types include full papers, hot topic fast tracked communications and review articles. Authors considering submitting a review article should contact the editorial office first.
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