Imaging of cardiovascular structures using near-infrared femtosecond multiphoton laser scanning microscopy
Multiphoton imaging represents a novel and very promising medical diagnostic technology for the high-resolution analysis of living biological tissues. We performed multiphoton imaging to analyzed stru...
Temporal clustering analysis of cerebral blood flow activation maps measured by laser speckle contrast imaging
Temporal and spatial orchestration of neurovascular coupling in brain neuronal activity is crucial for comprehending the mechanism of functional cerebral metabolism and pathophysiology. Laser speckle ...
Unwarping confocal microscopy images of bee brains by nonrigid registration to a magnetic resonance microscopy image
J. Biomed. Opt., Vol. 10, 024018 (2005);
doi:10.1117/1.1896025
Published Apr. 4, 2005
ABSTRACT
REFERENCES (30)
CITING ARTICLES
Torsten Rohlfing SRI International, Neuroscience Program, 333 Ravenswood Avenue, Menlo Park, California 94025
Frank Schaupp Freie Universität Berlin, Institut für BiologieNeurobiologie, Berlin, Germany
Daniel Haddad Universität Würzburg, Physikalisches Institut EP5, Würzburg, Germany
Robert Brandt Mercury Computer Systems GmbH, Berlin, Germany
Axel Haase Universität Würzburg, Physikalisches Institut EP5, Würzburg, Germany
Randolf Menzel Freie Universität Berlin, Institut für BiologieNeurobiologie, Berlin, Germany
Calvin R. Maurer, Jr. Stanford University, Department of Neurosurgery, Stanford, California
Confocalmicroscopy (CM) is a powerful image acquisition technique that iswell established in many biological applications. It provides 3-D acquisitionwith high spatial resolution and can acquire several different channelsof complementary image information. Due to the specimen extraction andpreparation process, however, the shapes of imaged objects may differconsiderably from their in vivo appearance. Magnetic resonance microscopy (MRM)is an evolving variant of magnetic resonance imaging, which achievesmicroscopic resolutions using a high magnetic field and strong magneticgradients. Compared to CM imaging, MRM allows for in situimaging and is virtually free of geometrical distortions. We proposeto combine the advantages of both methods by unwarping CMimages using a MRM reference image. Our method incorporates asequence of image processing operators applied to the MRM image,followed by a two-stage intensity-based registration to compute a nonrigidcoordinate transformation between the CM images and the MRM image.We present results obtained using CM images from the brainsof 20 honey bees and a MRM image of anin situ bee brain.