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Deconvolution of 3D Image Stacks

Images taken with a light microscope are never true representations of the specimen. Error sources, which have to be controlled, are sample preparation and staining protocols as well as optical aberrations and limitations of microscope and digital camera.

To turn the microscopic image into a close representation of the specimen ground truth restoration algorithms are in use. In this presentation, we will focus on restoration of three-dimensional datasets, a process called deconvolution. The mathematics behind these methods will not be covered. Rather, the aim is to provide a brief, intuitive introduction that allows us to assess the possible uses of these filters in a specific application. For this reason, we will demonstrate these filters live on selected example images.

Presenter: Heiko Gäthje
Senior Trainer, Olympus Europa

Heiko joined Olympus in 2004 as a web content manager in the Marketing and Communication team. Since 2008, he has worked as a microscopy trainer at the Olympus Academy and is responsible for the conception and introduction of digital learning tools. In addition, he supports and conducts microscopy training courses at the EMBL Heidelberg and the Zurich Winter School on Advanced Microscopy where he regularly answers questions related to image processing and image analysis.

Deconvolution of 3D Image Stacks

Images taken with a light microscope are never true representations of the specimen. Error sources, which have to be controlled, are sample preparation and staining protocols as well as optical aberrations and limitations of microscope and digital camera.

To turn the microscopic image into a close representation of the specimen ground truth restoration algorithms are in use. In this presentation, we will focus on restoration of three-dimensional datasets, a process called deconvolution. The mathematics behind these methods will not be covered. Rather, the aim is to provide a brief, intuitive introduction that allows us to assess the possible uses of these filters in a specific application. For this reason, we will demonstrate these filters live on selected example images.

Presenter: Heiko Gäthje
Senior Trainer, Olympus Europa

As a biologist with a focus on neuronal development of insects and the structure of sialic acid binding neuronal proteins in mammals, Heiko Gaethje gained first experience with widefield and confocal fluorescence microscopy and image processing of 3D data.

Heiko joined Olympus in 2004 as a web content manager in the Marketing and Communication team. Since 2008, he has worked as a microscopy trainer at the Olympus Academy and is responsible for the conception and introduction of digital learning tools. In addition, he supports and conducts microscopy training courses at the EMBL Heidelberg and the Zurich Winter School on Advanced Microscopy where he regularly answers questions related to image processing and image analysis.

Experts
Heiko Gäthje
培训学院高级培训师
Olympus Europa

大家好,我叫Heiko Gäthje。我在担任生物学家时开始获得宽视场和共聚焦荧光显微镜以及3D数据图像处理方面的专业知识,当时的研究重点是昆虫的神经元发育和哺乳动物唾液酸结合神经元蛋白质的结构。

我于2004年加入奥林巴斯,自2008年以来一直担任奥林巴斯学院的显微培训师,负责介绍数字学习工具的概念和使用。我还支持并参与EMBL海德堡大学和苏黎世冬季高级显微技术学校举办的显微学培训课程,回答诸多与图像处理和图像分析有关的问题。

Deconvolution of 3D Image Stacks2024年3月28日
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