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Plate Imaging & AI Assistant Classification Insights

July 12, 2026
Image Classification Insights in AI Assistant

For organizations running image classification, the AI Assistant can now pull up predicted labels and per-well confidence scores directly in conversation — no more digging through raw data to find what needs a second look.

Details

  • Ask for classification results on a specific plate to see labels and confidence per well.
  • Ask for the lowest-confidence hits across your most recent plates to quickly triage what needs review.
  • The feature stays out of the way for orgs without classification data, so it won't clutter the assistant's toolset unless it's relevant.
Row & Column Labels for Plate View

Row letters and column numbers are now shown on the default plate view for all plate formats larger than 6 wells (12, 24, 96, 384, and beyond), regardless of whether the "collapse to occupied wells" view is active. This makes it much faster to identify a specific well's position without counting across the grid.

Behind-the-Scenes Fixes & Tweaks

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Large plate reports (like 96-well summaries) now complete reliably instead of failing silently, and tool approvals in the AI Assistant respond faster and more consistently.

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Well montage images no longer show doubled features at inconsistent interior seams, thanks to a new global tile-alignment solver.

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Well and montage images now preserve the microscope's native aspect ratio instead of being forced into a square, so round wells render as circles rather than stretched ovals.

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Image processing pipeline now supports 16-bit source images with proper contrast scaling, so images from compatible instruments display with correct brightness and detail instead of appearing flat or clipped.

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Import now reliably detects plate holder types and well counts from nested XML in packaged plate configuration files.

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Eliminated intermittent "database is locked" errors that could occur while the packaged desktop app was starting up.

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Workcell file sync now removes files that were deleted from the source, keeping the local directory clean and up to date.

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Routine template lookups now return clear, actionable messages instead of opaque failures when a routine or template file is missing or malformed.