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Herbert J Bernstein

Explore the profile of Herbert J Bernstein including associated specialties, affiliations and a list of published articles. Areas
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Articles 31
Citations 204
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Recent Articles
1.
Bernstein H, Soares A, Horvat K, Jakoncic J
J Synchrotron Radiat . 2025 Feb; 32(Pt 2):385-398. PMID: 39913307
New higher-count-rate, integrating, large-area X-ray detectors with framing rates as high as 17400 images per second are beginning to be available. These will soon be used for specialized macromolecular crystallography...
2.
Bernstein H, Soares A, Horvat K, Jakoncic J
bioRxiv . 2024 Sep; PMID: 39314279
Synopsis: New higher-count-rate, integrating, large area X-ray detectors with framing rates as high as 17,400 images per second are beginning to be available. These will soon be used for specialized...
3.
Dong J, Yin Z, Kreitler D, Bernstein H, Jakoncic J
J Appl Crystallogr . 2024 Jun; 57(Pt 3):670-680. PMID: 38846759
Macromolecular crystallography contributes significantly to understanding diseases and, more importantly, how to treat them by providing atomic resolution 3D structures of proteins. This is achieved by collecting X-ray diffraction images...
4.
Bernstein H, Jakoncic J
J Synchrotron Radiat . 2024 Jun; 31(Pt 4):647-654. PMID: 38838167
Structural biology experiments benefit significantly from state-of-the-art synchrotron data collection. One can acquire macromolecular crystallography (MX) diffraction data on large-area photon-counting pixel-array detectors at framing rates exceeding 1000 frames per...
5.
Andrews L, Bernstein H, Sauter N
Acta Crystallogr A Found Adv . 2023 Jul; 79(Pt 5):480-484. PMID: 37485824
A method is proposed for choosing unit cells for a group of crystals so that they all appear as nearly similar as possible to a selected cell. Related unit cells...
6.
Bernstein H, Andrews L, Xerri M
Acta Crystallogr A Found Adv . 2023 Jun; 79(Pt 4):369-380. PMID: 37338213
Characterization of crystallographic lattices is an important tool in structure solution, crystallographic database searches and clustering of diffraction images in serial crystallography. Characterization of lattices by Niggli-reduced cells (based on...
7.
Schneider D, Soares A, Lazo E, Kreitler D, Qian K, Fuchs M, et al.
J Synchrotron Radiat . 2022 Nov; 29(Pt 6):1480-1494. PMID: 36345756
The highly automated macromolecular crystallography beamline AMX/17-ID-1 is an undulator-based high-intensity (>5 × 10 photons s), micro-focus (7 µm × 5 µm), low-divergence (1 mrad × 0.35 mrad) energy-tunable (5-18 ...
8.
Andrews L, Bernstein H
J Appl Crystallogr . 2022 Aug; 55(Pt 4):782-786. PMID: 35979069
Methods of generating random unit-cell data for testing software are discussed. Working within the space appears to be the most expeditious.
9.
Soares A, Yamada Y, Jakoncic J, McSweeney S, Sweet R, Skinner J, et al.
Acta Crystallogr F Struct Biol Commun . 2022 Jul; 78(Pt 7):281-288. PMID: 35787556
KAMO and BLEND provide particularly effective tools to automatically manage the merging of large numbers of data sets from serial crystallography. The requirement for manual intervention in the process can...
10.
Nguyen T, Phan K, Kozakov D, Gabelli S, Kreitler D, Andrews L, et al.
Acta Crystallogr D Struct Biol . 2022 Mar; 78(Pt 3):268-277. PMID: 35234141
One often observes small but measurable differences in the diffraction data measured from different crystals of a single protein. These differences might reflect structural differences in the protein and may...