tomoj.bibtex module

@article{MessaoudiI2007, title = “TomoJ: Tomography Software for Three-Dimensional Reconstruction in Transmission Electron Microscopy”, journal = “BMC Bioinformatics”, volume = “8”, number = “288”, year = “2007”, note = “Electron Tomography”, issn = “1471-2105”, doi = “https://doi.org/10.1186/1471-2105-8-288”, url = “https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-8-288”, author = “Cédric MessaoudiI, Thomas Boudier, Carlos Oscar Sanchez Sorzano & Sergio Marco”, keywords = “Tilt Angle, Fiducial Marker, Tomographic Reconstruction, Algebraic Reconstruction Technique, Tilt Axis”, abstract = “Transmission electron tomography is an increasingly common three-dimensional electron microscopy approach that can provide new insights into the structure of subcellular components. Transmission electron tomography fills the gap between high resolution structural methods (X-ray diffraction or nuclear magnetic resonance) and optical microscopy.

We developed new software for transmission electron tomography, TomoJ. TomoJ is a plug-in for the now standard image analysis and processing software for optical microscopy, ImageJ.”

}

@article{Sorzano2009, title = “Marker-free image registration of electron tomography tilt-series”, journal = “BMC Bioinformatics”, volume = “10”, number = “124”, year = “2009”, note = “Electron Tomography”, issn = “1471-2105”, doi = “https://doi.org/10.1186/1471-2105-10-124”, url = “https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-10-124”, author = “Carlos Oscar Sanchez Sorzano, Cédric Messaoudi, Matthias Eibauer, JR Bilbao-Castro, R Hegerl, S Nickell, S Marco & JM Carazo “, keywords = “Affine Transformation, Fiducial Marker, Robust Regression, Goal Function, Alignment Parameter”, abstract = “Tilt series are commonly used in electron tomography as a means of collecting three-dimensional information from two-dimensional projections. A common problem encountered is the projection alignment prior to 3D reconstruction. Current alignment techniques usually employ gold particles or image derived markers to correctly align the images. When these markers are not present, correlation between adjacent views is used to align them. However, sequential pairwise correlation is prone to bias and the resulting alignment is not always optimal.” }