Application of a PCR Assay to Enhance the Detection and Identification of <i>Tritrichomonas Foetus</i> in Cultured Preputial Samples
Bibliographic record
Abstract
The traditional diagnostic test for Tritrichomonas foetus involves collection of preputial or vaginal samples followed by culture in a growth media and microscopic examination. Recently, polymerase chain reaction (PCR) techniques have been described for use as a diagnostic assay. The objective of this study was to evaluate a previously described PCR assay for detecting T. foetus in cultured preputial material. The detection limits of the assay for T. foetus organisms in a growth medium, in samples prepared from washing microscope slides, and in preputial material cultured in a growth medium were determined. Preputial samples were collected from 13 bulls uninfected with T. foetus. The PCR assay was able to detect 5 T. foetus organisms in the growth medium and the cultured preputial material. Amplification products were obtained from samples prepared from washes of microscope slides containing as few as 3 visualized organisms. The PCR assay was able to detect organisms in culture at a lower concentration than was possible by direct microscopic examination. This low detection limit may allow the PCR assay to be used to enhance the sensitivity of the current diagnostic test. In addition, the assay could be used to confirm the identification of T. foetus organisms observed by direct microscopic examination when other confirmation techniques, such as staining and phase microscopy, are not practical.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".