Fig. 3: Real-time quality control (QC) for capturing image and system errors. | Nature Communications

Fig. 3: Real-time quality control (QC) for capturing image and system errors.

From: A petascale automated imaging pipeline for mapping neuronal circuits with high-throughput transmission electron microscopy

Fig. 3

It utilizes the template matching to detect any tile overlap issue during acquisition, and FFT score to measure the focus quality of each tile. a Diagram representing the overlap region and template matching between two image tiles (blue boxes). The template search area (yellow box) is a region of twice the tile overlap (~13% for 20Mpix camera and 9% for 50Mpix). Three templates are used per edge, and the mean and standard deviation of the three matching vectors are returned from the filter. b Good vs. Bad real-time matcher results displayed on GUI: each triangle represents a matching result (top and down or left and right). Blue hues indicate that the template is found beyond the expected position, and red hues indicate that the template is found before the expected position, and the intensity represents the magnitude of the offset between the ideal and actual locations. To test the matching operation, we introduced two types of errors shown in the bad montage. The stage position was artificially perturbed on row 4, and then on rows 10–11 the beam was blocked, resulting in black tiles. If the number of matched templates or the standard deviation of the template match vectors fail to meet thresholds, the tile is marked as an error. Imaging problems are usually detected as flagged tiles in the quality map or non-uniform QC output maps. See example QC output maps: c matcher quality map; d focus map (color code is arbitrary as color is used only to identify any non-uniform pattern); e x-offset from ideal; f y-offset from ideal. Blue hue indicates positive stage offset comparing to the target position, and red hue indicates negative offset. The intensity represents the magnitude of the offset.

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