Abstract：
:Electron tomography allows structural studies of cellular structures at molecular detail. Large 3D reconstructions are needed to meet the resolution requirements. The processing time to compute these large volumes may be considerable and so, high performance computing techniques have been used traditionally. This work presents a vector approach to tomographic reconstruction that relies on the exploitation of the SIMD extensions available in modern processors in combination to other single processor optimization techniques. This approach succeeds in producing full resolution tomograms with an important reduction in processing time, as evaluated with the most common reconstruction algorithms, namely WBP and SIRT. The main advantage stems from the fact that this approach is to be run on standard computers without the need of specialized hardware, which facilitates the development, use and management of programs. Future trends in processor design open excellent opportunities for vector processing with processor's SIMD extensions in the field of 3D electron microscopy.
journal_name
J Struct Bioljournal_title
Journal of structural biologyauthors
Agulleiro JI,Garzón EM,García I,Fernández JJdoi
10.1016/j.jsb.2010.01.008subject
Has Abstractpub_date
2010-06-01 00:00:00pages
570-5issue
3eissn
1047-8477issn
1095-8657pii
S1047-8477(10)00020-1journal_volume
170pub_type
杂志文章abstract：:We demonstrate in this work that scanning tunneling microscopy (STM) provides a useful approach to obtaining structural information about human islet amyloid polypeptide (hIAPP) and rat islet amyloid polypeptide (rIAPP) assembly on highly oriented pyrolytic graphite (HOPG) with sub-molecular resolution. The observed h...
journal_title：Journal of structural biology
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journal_title：Journal of structural biology
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journal_title：Journal of structural biology
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更新日期：2020-12-01 00:00:00
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