TY - JOUR
T1 - Gradient projection for regularized cryo-electron tomographic reconstruction
AU - Albarqouni, Shadi
AU - Lasser, Tobias
AU - Alkhaldi, Weaam
AU - Al-Amoudi, Ashraf
AU - Navab, Nassir
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015
PY - 2015
Y1 - 2015
N2 - Cryo-ET has recently emerged as a leading technique to investigate the three-dimensional (3D) structure of biological specimens at close-to-native state. The technique consists of acquiring many two-dimensional (2D) projections of the structure under scrutiny at various tilt angles under cryogenic conditions. The 3D structure is recovered through a number of steps including projection alignment and reconstruction. However, the resolution currently achieved by cryo-ET is well below the instrumental resolution mainly due to the contrast transfer function of the microscope, the limited tilt range and the high noise power. These limitations make the 3D reconstruction procedure very challenging. Here, we propose a new regularized reconstruction technique based on projected gradient algorithm. Using the gold-standard method for resolution assessment, the Fourier Shell Correlation, we show that the proposed technique outperforms the commonly used reconstruction methods in ET, including the filtered back projection and the algebraic reconstruction techniques.
AB - Cryo-ET has recently emerged as a leading technique to investigate the three-dimensional (3D) structure of biological specimens at close-to-native state. The technique consists of acquiring many two-dimensional (2D) projections of the structure under scrutiny at various tilt angles under cryogenic conditions. The 3D structure is recovered through a number of steps including projection alignment and reconstruction. However, the resolution currently achieved by cryo-ET is well below the instrumental resolution mainly due to the contrast transfer function of the microscope, the limited tilt range and the high noise power. These limitations make the 3D reconstruction procedure very challenging. Here, we propose a new regularized reconstruction technique based on projected gradient algorithm. Using the gold-standard method for resolution assessment, the Fourier Shell Correlation, we show that the proposed technique outperforms the commonly used reconstruction methods in ET, including the filtered back projection and the algebraic reconstruction techniques.
KW - Cryo-electron tomography
KW - Gradient projection
KW - Sparse regularization
KW - Tomographic reconstruction
UR - http://www.scopus.com/inward/record.url?scp=84931271514&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-18431-9_5
DO - 10.1007/978-3-319-18431-9_5
M3 - Article
AN - SCOPUS:84931271514
SN - 2212-9391
VL - 22
SP - 43
EP - 51
JO - Lecture Notes in Computational Vision and Biomechanics
JF - Lecture Notes in Computational Vision and Biomechanics
ER -