Between September 22 and September 30 we taught Elnora to find and number the layers in a cross-section, added particle size distributions in real units and per-channel image intensity, made agent edits merge with concurrent changes, and made file previews read instrument files in their original encoding.
Elnora finds the layers in a cross-section image by tracing boundaries that run across its full width, then draws each candidate layer as a numbered region over your image. When it is unclear which layer you mean, the agent asks before reporting thickness or porosity.
Particle and region measurements return a size distribution and a table with one row per object, in micrometres once the image has a scale. You can filter objects by area in square micrometres, and the result states which objects were left out of the outlines and why.
Image summaries give intensity statistics for each colour channel, and for each channel of a multichannel microscopy stack, with transparency kept out of the numbers. A greyscale image saved in colour is recognised as a single channel, and the agent measures it directly.
When a teammate or another conversation saves a file while the agent is editing it, the agent reads the newer version, checks what its own change would do to it, and merges both before saving. This covers protocols, plate maps, sequence annotations and other workspace files.
The file viewer detects the encoding of each text file, so instrument CSV exports show micro, degree and plus-minus signs as written. Sequence, alignment, structure and notebook previews read files the same way the agent does during analysis.
