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Following the data flow along the streaming pipeline, the starting trigger comes from the control interface which initiates a new ptychographic scan providing information about the scan (step size, scan pattern, number of scan points) and other relevant information (e.g., wavelength) to the back-end handler.
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Seen below is the landing page for our application where the user can take actions to get more information ("ABOUT"), or scan the surrounding cell towers ("SCAN").
More importantly, our algorithm and method do not require any prior information about the scanned objects.
It was validated that our comprehensive and adaptive local scanning method can shorten the scanning time in order of hundreds of times in comparison with the traditional raster scanning without losing any important information about the scanned 2D objects.
It also validates that our comprehensive and adaptive local scanning method can shorten the scanning time in order of hundreds of times in comparison with the traditional raster scanning without losing any important information about the scanned object.
From the redundant information about the scanned object within the recorded scattering intensities, due to the spot overlap, the real space image of the object's structure and the 3D wave field of the focused beam can be calculated.
After doing numerous experiments, it became clear that our comprehensive and adaptive local scanning method can shorten the scanning time in order of hundreds of times in comparison with the traditional raster scanning without losing any important information about the scanned object.
The blinding was achieved by actively removing all information about the scans from the transcripts.
Before scanning, participants received written information about the scanning procedure and were screened using a comprehensive medical questionnaire.
The output is structured data in json format, a human readable file that contains information about the scanning process (parameters used, fastq file size, statistics about read number, length and quality, and scan time), the final results, and the intermediary data structures that were used to calculate these results.
Information about the full scan (MS1) data was not originally provided for CASMI 2016, but was provided retrospectively for Challenges 10 19 in Category 1 upon request and post-contest for Categories 2 and 3 for another publication [16].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com