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Abstract:
Single Plane Illumination Microscopy (SPIM; Huisken et al., Nature 305(5686):1007–1009, 2004) is an emerging microscopic
technique that enables live imaging of large biological specimens in their entirety. By imaging the living biological
sample from multiple angles SPIM has the potential to achieve isotropic resolution throughout even relatively large biological
specimens. For every angle, however, only a relatively shallow section of the specimen is imaged with high resolution,
whereas deeper regions appear increasingly blurred. In order to produce a single, uniformly high resolution image, we
propose here an image mosaicing algorithm that combines state of the art groupwise image registration for alignment with
content-based image fusion to prevent degrading of the fused image due to regional blurring of the input images. For
the registration stage, we introduce an application-specific groupwise transformation model that incorporates per-image as
well as groupwise transformation parameters. We also propose a new fusion algorithm based on Gaussian filters, which is
substantially faster than fusion based on local image entropy. We demonstrate the performance of our mosaicing method
on data acquired from living embryos of the fruit fly, Drosophila, using four and eight angle acquisitions.
