{'fraction_non_alphanumeric': 0.023539668700959023, 'fraction_numerical': 0.0, 'mean_word_length': 5.752941176470588, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
PSRT: Progressive Stochastic Reconstruction Technique for Cryo Electron Tomography

Cryo Electron Tomography (cryoET) is one of the essential techniques in Structural Biology, as it allows us to study the structure of macromolecular complexes in their native environment in situ. The tomographic reconstruction in cryoET is a particularly challenging task as the input data suffers from very low contrast, high noise, and limited tilt range. Moreover, the scanned specimen is larger than the detector, introducing the interior problem into the reconstruction process, which causes vignetting artifacts on the edges of the reconstructions. To alleviate some of these limitations, high-resolution protocols such as Subtomogram Averaging (SA) are applied to obtain structures of individual macromolecular complexes from a tomogram. Results of these protocols are highly dependent on the quality of the reconstruction. Current state-of-the-art methods such as Weighted Back Projection (WBP) or Simultaneous Algebraic Reconstruction Technique (SART) deliver noisy and low-contrast reconstructions and thus manual intervention is often needed during SA.