ArticleJournal of applied crystallography2026
The BioSAXS laboratory of the ITACA.SB Research Infrastructure.
Article in Journal of applied crystallography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We describe a state-of-the-art X-ray scattering laboratory, within the Research Infrastructure ITACA.SB (Potentiating the Italian Capacity for Structural Biology Services in Instruct-ERIC), designed for multi-scale structural characterization of biological specimens and advanced materials with small- and wide-angle X-ray scattering (SAXS/WAXS) techniques: WAXS to probe atomic and molecular organization, and SAXS to characterize morphological and structural features at the nanoscale. The system enables (i) the concurrent acquisition of SAXS/WAXS data, (ii) the execution of scanning SAXS/WAXS microscopy, and (iii) the collection of ultra-small-angle X-ray scattering, batch BioSAXS and size-exclusion chromatography SAXS data. To demonstrate the system's versatility, we investigated the hierarchical complexity of both biological specimens and synthetic/natural fibers. We also report on analysis of well known proteins and micelles.
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Registered trials
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