Abstract
Soft X-ray tomographic (TomoX) microscopy is becoming a valuable technique for the analysis of the organization of cellular structures, filling a resolution gap between electron and confocal microscopy. TomoX is based on the possibility of imaging three-dimensional fully hydrated cells under cryo-conditions without any chemical pretreatment using soft X-rays. Unfortunately, from an image formation point of view, TomoX projections suffer from inaccuracies due to the limited depth of field (DOF) of the objective lens. Thus, modeling the image formation process is decisive to understanding how TomoX projections are formed and to mitigating the effect of these DOF inaccuracies. A review of the state of the art regarding image modeling is presented in this chapter.
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Acknowledgements
The authors would like to acknowledge the financial support from the Spanish Ministry of Economy and Competitiveness (MEC) through grants AIC-A-2011-0638 and BIO2010-16566; the Comunidad de Madrid through grant CAM(S2010/BMD-2305); and the European Community’s Seventh Framework Programme (FP7/2007–2013) under BioStruct-X (CAP-INFRAS/1376) and NSF grant DMS-1114901. C.O.S. Sorzano is a recipient of a Ramón y Cajal fellowship financed by the European Social Fund and MEC. Joaquín Otón is supported by a Juan de la Cierva fellowship from MEC with reference JCI-2010-07594.
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Otón, J., Sorzano, C.O.S., Chichón, F.J., Carrascosa, J.L., Carazo, J.M., Marabini, R. (2014). Soft X-Ray Tomography Imaging for Biological Samples. In: Herman, G., Frank, J. (eds) Computational Methods for Three-Dimensional Microscopy Reconstruction. Applied and Numerical Harmonic Analysis. Birkhäuser, New York, NY. https://doi.org/10.1007/978-1-4614-9521-5_8
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