Multifocal Multiphoton Microscopy for Neurobiological Imaging
Name
880688922-MIT.pdf
Description
Full printable version
Size
15.2 MB
Format
Adobe PDF
Checksum (MD5)
787db6fbbe3b773d45a1c9ef9157f34c
Author(s)
Cha, Jae Won
Advisor(s)
Peter T. C. So.
Alternative Title
MMM for Neurobiological Imaging
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
Observing neuronal structures and monitoring changes in synaptic connectivity with respect to time have a significant impact on understanding the basis of structural brain abnormalities and the development of therapeutics for their correction. Today, multiphoton excitation fluorescence microscopy is the method of choice for in vivo neuronal imaging with its inherent 3D resolution, minimal photo-damage, and excellent penetration depth. The study of neuronal interactions on dendritic arbor remodeling often requires large volume imaging demanding fast imaging speed. One of the methods to improve imaging speed is multifocal multiphoton microscopy (MMM) that parallelizes imaging process with multiple excitation foci. Early MMM had very limited imaging depth due to signal-to-noise ratio (SNR) degradation resulting from the scattering of emission photons in highly turbid biological specimens. The development of descanned MMM with multianode photomultiplier tube has partly alleviated this problem, but it still suffers from greater signal loss and the presence of image artifacts compared with conventional single focus multiphoton microscopes. In this thesis, adaptive optics compensation, image post processing for emission photon reassignment, and a novel non-descanned MMM have been investigated for SNR improvement. In addition, spectral resolved MMM has been developed for simultaneous fast imaging and spectral detection.
Description
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references.
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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