Premium
Auto‐Align – Multi‐Modality Fluorescence Microscopy Image Co‐registration
Author(s) -
Pitkeathly William T. E.,
Poulter Natalie S.,
Claridge Ela,
Rappoport Joshua Z.
Publication year - 2012
Publication title -
traffic
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.677
H-Index - 130
eISSN - 1600-0854
pISSN - 1398-9219
DOI - 10.1111/j.1600-0854.2011.01309.x
Subject(s) - total internal reflection fluorescence microscope , artificial intelligence , computer vision , modality (human–computer interaction) , computer science , microscopy , light sheet fluorescence microscopy , fluorescence lifetime imaging microscopy , fluorescence microscope , microscope , image registration , image processing , optics , materials science , biomedical engineering , image (mathematics) , fluorescence , physics , medicine
Multi‐modality microscopes incorporate multiple microscopy techniques into one module, imaging through a common objective lens. Simultaneous or consecutive image acquisition of a single specimen, using multiple techniques, increases the amount of measurable information available. In order to benefit from each modality, it is necessary to accurately co‐register data sets. Intrinsic differences in the image formation process employed by each modality result in images which possess different characteristics. In addition, as a result of using different measurement devices, images often differ in size and can suffer relative geometrical deformations including rotation, scale and translation, making registration a complex problem. Current methods generally rely on manual input and are therefore subject to human error. Here, we present an automated image registration tool for fluorescence microscopy. We show that it successfully registers images obtained via total internal reflection fluorescence (TIRF), or epi‐fluorescence, and confocal microscopy. Furthermore, we provide several other applications including channel merging following image acquisition through an emission beam splitter, and lateral stage drift correction. We also discuss areas of membrane trafficking which could benefit from application of Auto‐Align. Auto‐Align is an essential item in the advanced microscopist's toolbox which can create a synergy of single or multi‐modality image data.