A Bayesian reconstruction method for micro-rotation imaging in light microscopy

✍ Scribed by Danai Laksameethanasan; Sami S. Brandt; Peter Engelhardt; Olivier Renaud; Spencer L. Shorte

• Publisher: John Wiley and Sons
• Year: 2008
• Tongue: English
• Weight: 470 KB
• Volume: 71
• Category: Article
• ISSN: 1059-910X
• DOI: 10.1002/jemt.20550

✦ Synopsis

Abstract

The authors present a three‐dimensional (3D) reconstruction algorithm and reconstruction‐based deblurring method for light microscopy using a micro‐rotation device. In contrast to conventional 3D optical imaging where the focal plane is shifted along the optical axis, micro‐rotation imaging employs dielectric fields to rotate the object inside a fixed optical set‐up. To address this entirely new 3D‐imaging modality, the authors present a reconstruction algorithm based on Bayesian inversion theory and use the total variation function as a structure prior. The spectral properties of the reconstruction by simulations that illustrate the strengths and the weaknesses of the micro‐rotation approach, compared with conventional 3D optical imaging, were studied. The reconstruction from real data sets shows that this method is promising for 3D reconstruction and offers itself as a deblurring method using a reconstruction‐based procedure for removing out‐of‐focus light from the micro‐rotation image series. Microsc. Res. Tech., 2008. © 2007 Wiley‐Liss, Inc.