A beginner’s guide to improving image acquisition in fluorescence microscopy
Author(s) -
Takeo Ogama
Publication year - 2020
Publication title -
the biochemist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.126
H-Index - 7
eISSN - 1740-1194
pISSN - 0954-982X
DOI - 10.1042/bio20200075
Subject(s) - fluorescence microscope , microscopy , optical microscope , computer science , computer vision , microscope , artificial intelligence , set (abstract data type) , fluorescence , materials science , optics , physics , scanning electron microscope , programming language
This article presents an overview of optical microscopy and digs into the details of fluorescence microscopy, exploring the link between the signals in biological samples and the digital data from microscope cameras. Understanding this relationship can help you set the ideal image acquisition conditions to achieve the highest quality images and data.
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