image analysis: two per-image detection scores say whether there is protein and whether there is ice
proteinScore and iceScore are saturating scores in [0,1] that answer presence, not quality: a superb crystal and a barely-diffracting one both read near 1, and neither the spot count nor the resolution enters either of them as a term. iceRingScore already reports a magnitude - a ratio, unbounded - which is not a number that can be thresholded; these are. The protein score counts distinct d SHELLS above 5 A rather than spots, so a parasitic ring in the low-resolution band cannot accumulate evidence, and weights each spot against the frame's own median so a scattering of the weakest detections cannot fill a shell either. The ice score carries two channels and takes the stronger: a radial one over the azimuthal profile, which runs the hexagonal and the CUBIC phase as separate hypotheses and decides between them at the end (flash-cooled loops show cubic or stacking-disordered ice at least as often as hexagonal, the two share only three lines, and dropping the cubic hypothesis costs about 5 pp on iced loops), and a spot one that reads an excess on the ice radii against the same band slid to every ice-free offset, which is what catches ice arriving as discrete crystallites and leaving the radial profile flat. Both read d out of the geometry, so both move with a beam-centre error; the centre is not fitted here, and the one they were computed with is written beside them as scoreBeamCenterX/Y so a later rescoring can tell an algorithm disagreement from a geometry one. Ported from validated prototypes and checked against them frame by frame on stored data: mean absolute difference 2.7e-5 (protein), 1.3e-8 (ice radial) and 3.4e-4 (ice spots). On a 41-loop battery the protein score reaches 98.4% of confirmed-protein frames and 0.00% of water frames, and finds no cluster on any water or ice raster. Cost is 0.01 ms/frame for the protein score and 0.08-0.32 ms/frame for the ice score. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EFEJG6WBQv8th4UJFNe53N
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@@ -820,6 +820,10 @@ void CBORStream2Serializer::SerializeSequenceEnd(const EndMessage& message) {
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CBOR_ENC(mapEncoder, "spot_count_indexed", message.spot_count_indexed);
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CBOR_ENC(mapEncoder, "image_indexed", message.image_indexed);
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CBOR_ENC(mapEncoder, "v_bkg_estimate", message.v_bkg_estimate);
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CBOR_ENC(mapEncoder, "v_protein_score", message.v_protein_score);
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CBOR_ENC(mapEncoder, "v_ice_score", message.v_ice_score);
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CBOR_ENC(mapEncoder, "protein_score", message.protein_score);
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CBOR_ENC(mapEncoder, "ice_score", message.ice_score);
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CBOR_ENC(mapEncoder, "ice_ring_score", message.ice_ring_score);
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CBOR_ENC(mapEncoder, "ice_ring_score_mean", message.ice_ring_score_mean);
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CBOR_ENC(mapEncoder, "spot_count_ice_control", message.spot_count_ice_control);
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@@ -918,6 +922,8 @@ void CBORStream2Serializer::SerializeImageInternal(CborEncoder &mapEncoder, cons
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CBOR_ENC(mapEncoder, "packets_received", message.packets_received);
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CBOR_ENC(mapEncoder, "bkg_estimate", message.bkg_estimate);
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CBOR_ENC(mapEncoder, "ice_ring_score", message.ice_ring_score);
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CBOR_ENC(mapEncoder, "protein_score", message.protein_score);
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CBOR_ENC(mapEncoder, "ice_score", message.ice_score);
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CBOR_ENC(mapEncoder, "adu_histogram", message.adu_histogram);
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CBOR_ENC(mapEncoder, "roi_integrals", message.roi);
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CBOR_ENC(mapEncoder, "beam_corr_x", message.beam_corr_x);
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