3D cryo-electron microscopy
Bioimaging
Mathematical Imaging
Principal Investigators: Carlos Oscar Sorzan, Slovac Jonic, Michael Unser
Main Contribution
We have introduced the Spectral-Signal-to-Noise Ratio (SSNR) criterion for determining the resolution of 2D (by correlation averaging) and 3D reconstructions (by electron tomography) of macro molecules.
We have also proposed a 2D-to-3D registration algorithm for refinining the angular and translational parameters of the projection data used for 3D reconstruction.
Collaborations: Dr. Philippe Thévenaz, Drs. Catherine El Bez et Sacha De Carlo (LAU, Uni Lausanne), Dr. Benes L. Trus (NIH, USA)
Period: 2002-ongoing
Funding:
Major Publications
- , , , A New Resolution Criterion Based on Spectral Signal-To-Noise Ratios, Ultramicroscopy, vol. 23, no. 1, pp. 39–51, 1987.
- , , , Odd Men Out: A Quantitative Objective Procedure for Identifying Anomalous Members of a Set of Noisy Images of Ostensibly Identical Specimens, Ultramicroscopy, vol. 19, no. 4, pp. 337–347, 1986.
- , , , , , , , , Molecular Substructure of a Viral Receptor-Recognition Protein. The gp17 Tail-Fiber of Bacteriophage T7, Journal of Molecular Biology, vol. 200, no. 2, pp. 351–365, March 1988.
- , , , Normalization Procedures and Factorial Representations for Classification of Correlation-Aligned Images: A Comparative Study, Ultramicroscopy, vol. 30, no. 3, pp. 299–310, July-August 1989.
- , , , , The Spectral Signal-To-Noise Ratio Resolution Criterion: Computational Efficiency and Statistical Precision, Ultramicroscopy, vol. 30, no. 3, pp. 429–434, July-August 1989.