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Figure 4
Auto-Rickshaw as a bridge between beamline experiment and structure solution. (a) Conceptual beamline-to-model workflow. Diffraction data collected at a synchrotron beamline are processed and assessed before entering the Auto-Rickshaw decision-making layer, where appropriate phasing, density-modification, model-building and refinement strategies are selected and controlled. The resulting maps, models and diagnostic reports feed back into experimental decisions, including whether to collect additional data, change wavelength, test another crystal or proceed to model completion. (b) Modern containerized implementation of Auto-Rickshaw. Beamline or user data directories are mounted into the Docker container, separating read-only input data from read–write output directories. The Auto-Rickshaw and pyAR layers operate within a controlled software environment, while established crystallographic programs are accessed externally through a read-only software tree. This arrangement improves reproducibility, maintainability and deployment at synchrotron facilities.

Journal logoSTRUCTURAL
BIOLOGY
ISSN: 2059-7983
Volume 82| Part 10| October 2026| Pages 1139-1151
https://doi.org/10.1107/S2059798326008831