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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
수석 트레이너, 교육 아카데미
Olympus Europa

안녕하세요, Heiko Gäthje입니다. 생물학자로서 근무할 때 시작된 광시야 및 공초점 형광 현미경과 3D 데이터의 이미지 처리를 전문으로 다루고 있습니다. 곤충의 뉴런 발달 및 포유류의 뉴런 단백질을 결합하는 시알산의 구조에 초점을 맞추었습니다. 2004년에 Olympus에 입사하였으며 2008년 이후 Olympus Academy의 현미경 트레이너로 디지털 학습 도구의 개념화 및 소개를 담당하였습니다. 또한, EMBL 하이델베르크 연구소 및 취리히 Winter School on Advanced Microscopy에서 현미경 교육 강좌를 지원하고 실시하면서 이미지 처리 및 이미지 분석과 관련된 많은 물음에 답하고 있습니다.

Deconvolution of 3D Image Stacks2024년3월28일
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