Peter Bajcsy

TL;DR: A Web-based measurement system overcomes desktop limitations by leveraging cloud and cluster computing for offline computations and by using Deep Zoom extensions for interactive viewing and measurement.

TL;DR: This paper addresses the problem of designing a universal file format converter by developing a service, NCSA Polyglot, which through this graph is capable of performing the larger union of conversions supported by the underlying software.

TL;DR: In this paper, a semi-automated registration technique for 3D volume reconstruction from fluorescent laser scanning confocal microscope (LSCM) images is presented, which consists of highlighting segmented regions as salient feature candidates, defining two region correspondences by a user, computing a pair of region centroids, as control points for registration, and transforming images according to estimated transformation parameters determined by solving a set of linear equations with input control points.

TL;DR: It is shown that the background noise in terabyte‐sized fluorescent image mosaics can be corrected computationally with the optimized triplet such that the total RMS value from background noise does not exceed the magnitude of the measured dark current noise.

TL;DR: The proposed techniques have been applied to the problem of aligning CLSM sub-volumes acquired from four consecutive physical cross sections and demonstrated significant improvements of morphological smoothness of medical structures in comparison with the results obtained by feature matching at the sub-volume boundaries.