title: Reconstruction of cellular biological structures from optical microscopy data.
abstract: Developments in optical microscopy imaging have generated large high-resolution data sets that have spurred medical researchers to conduct investigations into mechanisms of disease, including cancer at cellular and subcellular levels. The work reported here demonstrates that a suitable methodology can be conceived that isolates modality-dependent effects from the larger segmentation task and that 3D reconstructions can be cognizant of shapes as evident in the available 2D planar images. In the current realization, a method based on active geodesic contours is first deployed to counter the ambiguity that exists in separating overlapping cells on the image plane. Later, another segmentation effort based on a variant of Voronoi tessellations improves the delineation of the cell boundaries using a Bayesian formulation. In the next stage, the cells are interpolated across the third dimension thereby mitigating the poor structural correlation that exists in that dimension. We deploy our methods on three separate data sets obtained from light, confocal, and phase-contrast microscopy and validate the results appropriately.
authors.affiliation: Department of Computer Science and Engineering, Ohio State University, Columbus, OH 43210, USA. mosaligk@cse.ohio-state.edu
authors.forename: Kishore
authors.initials: K
authors.lastname: Mosaliganti
authors.forename: Lee
authors.initials: L
authors.lastname: Cooper
authors.forename: Richard
authors.initials: R
authors.lastname: Sharp
authors.forename: Raghu
authors.initials: R
authors.lastname: Machiraju
authors.forename: Gustavo
authors.initials: G
authors.lastname: Leone
authors.forename: Kun
authors.initials: K
authors.lastname: Huang
authors.forename: Joel
authors.initials: J
authors.lastname: Saltz
mesh_terms: D003196:Computer Graphics; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D018613:Microscopy, Confocal / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D013347:Subcellular Fractions / Q000648:ultrastructure*