Heiko Gäthje
수석 트레이너, 교육 아카데미
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.
Articles
Deconvolution of 3D Image Stacks
Heiko Gäthje - Tuesday, 26 October, 2021
Senior Trainer, Training Academy
Olympus Europa
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.
Digital Image Processing: Point and Local Operation Filters (Encore Edition)
Heiko Gäthje - Thursday, 29 July, 2021
Senior Trainer, Training Academy
Olympus Europa
Want to get a better understanding of digital image processing techniques? Then watch our Ask the Experts webinar rerun on July 29, where we discuss how point and local operation filters can be used to control sources of error such as noise or low contrast in microscopy images. As well as exploring the mathematics behind image processing techniques such as segmentation, extraction and thresholding, our expert Heiko will also discuss the ethics of image processing – helping you judge whether specific techniques are allowed.
Digital Image Processing Part 2: Advanced Image Processing Filter
Heiko Gäthje - Thursday, 25 March, 2021
Senior Trainer, Training Academy
Olympus Europa
In our first webinar on this topic, we learnt that images taken with a light microscope are never quite a perfect reflection of our samples. There are always sources of error, and as we can only minimize such errors, the raw data of an imaging experiment will often need some digital image processing before final image analysis.
Digital Image Processing: Point and Local Operation Filters
Heiko Gäthje - Thursday, 5 November, 2020
Senior Trainer, Training Academy
Olympus Europa
Images captured with a light microscope are never true representations of the specimen; there are always sources of error that must be controlled. In this webinar, we will discuss how these sources of error can be managed.