Two-Dimensional Direct-Reading Fluorescence Spectrograph for DNA Sequencing by Capillary Array Electrophoresis
Bibliographic record
Abstract
We report a compact, two-dimensional direct-reading fluorescence spectrograph and demonstrate its application to DNA sequencing by capillary array electrophoresis. The detection cuvette is based on sheath flow, wherein the capillaries terminate in a two-dimensional array in a fluid-filled chamber that is pressurized with buffer. A thin metal plate is located downstream from the capillaries. This barrier plate has an array of holes that precisely matches the location of the capillaries. Buffer flows through the holes, drawing analyte from the capillaries in a well-defined array of thin filaments. Fluorescence is excited in the upper chamber with an elliptically shaped laser beam. The bottom chamber is sealed with a glass window and drained from the side. Fluorescence is detected by imaging the illuminated sample streams through the holes in the barrier plate. A prism is used to disperse fluorescence from each sample across a CCD camera so that the emission spectrum is monitored simultaneously from each capillary. The instrument is demonstrated in a 32-capillary configuration but can be scaled to several thousand capillaries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".