双模式、图像增强、微型显微镜系统,用于对活细胞进行与培养箱兼容的监测。

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2024-07-09 DOI:10.1016/j.talanta.2024.126537
Yuheng Liao , Chunlian Qin , Xiaoyu Zhang , Jing Ye , Zhongyuan Xu , Haotian Zong , Ning Hu , Diming Zhang
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引用次数: 0

摘要

对稳定培养条件下的活细胞进行成像对于研究细胞的生理活动和增殖至关重要。要实现这一目标,通常需要在显微镜系统中加入一个能创造所需培养条件的专用培养室,以进行细胞监测。然而,这种成像系统通常体积庞大、成本高昂,阻碍了其广泛应用。微型显微镜系统领域的最新进展实现了培养箱细胞监测,为活细胞提供了适宜的环境。虽然这些系统更具成本效益,但它们通常在成像模式和空间时间分辨率方面受到限制。在这里,我们介绍一种双模式、图像增强、微型显微系统(称为 MiniCube),用于直接监测培养箱内的活细胞。MiniCube 可进行明视野成像和荧光成像,具有单细胞空间分辨率和亚秒级时间分辨率。此外,该系统还能在培养箱内进行细胞监测,时间尺度可调,从几秒到几天不等。同时,该系统提出的数据分析流水线实现了自动细胞分割和图像增强,并利用基于深度学习的图像去噪算法显著提高了采集数据的信噪比(SNR)。在保持相当信噪比的情况下,可以用低 5 倍的光照获取图像数据。这种微型显微系统用途广泛,可用于生物学研究的各种应用,为在培养箱中研究活细胞动态提供了一个实用的平台和方法。
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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A dual-mode, image-enhanced, miniaturized microscopy system for incubator-compatible monitoring of live cells

Imaging live cells under stable culture conditions is essential to investigate cell physiological activities and proliferation. To achieve this goal, typically, a specialized incubation chamber that creates desired culture conditions needs to be incorporated into a microscopy system to perform cell monitoring. However, such imaging systems are generally large and costly, hampering their wide applications. Recent advances in the field of miniaturized microscopy systems have enabled incubator cell monitoring, providing a hospitable environment for live cells. Although these systems are more cost-effective, they are usually limited in imaging modalities and spatial temporal resolution. Here, we present a dual-mode, image-enhanced, miniaturized microscopy system (termed MiniCube) for direct monitoring of live cells inside incubators. MiniCube enables both bright field imaging and fluorescence imaging with single-cell spatial resolution and sub-second temporal resolution. Moreover, this system can also perform cell monitoring inside the incubator with tunable time scales ranging from a few seconds to days. Meanwhile, automatic cell segmentation and image enhancement are realized by the proposed data analysis pipeline of this system, and the signal-to-noise ratio (SNR) of acquired data is significantly improved using a deep learning based image denoising algorithm. Image data can be acquired with 5 times lower light exposure while maintaining comparable SNR. The versatility of this miniaturized microscopy system lends itself to various applications in biology studies, providing a practical platform and method for studying live cell dynamics within the incubator.

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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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