Suppr超能文献

显微镜中的稳健自动对焦。

Robust autofocusing in microscopy.

作者信息

Geusebroek J M, Cornelissen F, Smeulders A W, Geerts H

机构信息

Department of Computer Science, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Cytometry. 2000 Jan 1;39(1):1-9.

Abstract

BACKGROUND

A critical step in automatic microscopy is focusing. This report describes a robust and fast autofocus approach useful for a wide range of microscopic modalities and preparations.

METHODS

The focus curve is measured over the complete focal range, reducing the chance that the best focus position is determined by dust or optical artifacts. Convolution with the derivative of a Gaussian smoothing function reduces the effect of noise on the focus curve. The influence of mechanical tolerance is accounted for.

RESULTS

The method is shown to be robust in fluorescence, bright-field and phase contrast microscopy, in fixed and living cells, as well as in fixed tissue. The algorithm was able to focus accurately within 2 or 3 s, even under extremely noisy and low contrast imaging conditions.

CONCLUSIONS

The proposed method is generally applicable in light microscopy, whenever the image information content is sufficient. The reliability of the autofocus method allows for unattended operation on a large scale.

摘要

背景

自动显微镜检查中的一个关键步骤是聚焦。本报告描述了一种强大且快速的自动聚焦方法,适用于广泛的显微镜检查模式和标本制备。

方法

在整个聚焦范围内测量聚焦曲线,降低了最佳聚焦位置由灰尘或光学伪像决定的可能性。与高斯平滑函数的导数进行卷积可减少噪声对聚焦曲线的影响。考虑了机械公差的影响。

结果

该方法在荧光、明场和相差显微镜检查中,在固定和活细胞以及固定组织中均显示出稳健性。即使在极其嘈杂和低对比度的成像条件下,该算法也能够在2或3秒内准确聚焦。

结论

只要图像信息内容足够,所提出的方法通常适用于光学显微镜检查。自动聚焦方法的可靠性允许大规模无人值守操作。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验