Detection of trichomonal vaginalis through lensless optofluidic microscopy
Bibliographic record
Abstract
Trichomoniasis is one of the most common non-viral sexually transmitted infection caused by a parasite called Trichomonas vaginalis. Currently, there is no timely, cost-efficient diagnostic test exist for Trichomoniasis. We present a lensless optofluidic imaging technique for label-free point-of-care detection of motile parasites in bodily fluids. With this setup we are able to achieve a FOV of ~2 mm2 at a frame rate of 30 fps and can see ~200 μl of sample in one image. Trichomonas vaginalis is identifiable through simple morphological features. Contrary to common practice of minimizing the distance between the sample and the sensor to maximize the resolution, we demonstrated that a greater distance is more advantageous by using the parasites natural ability to focus light as a contrast mechanism. This technique uses a low-cost high frame rate CMOS detector, which enables high throughput operation with requires minimal sample preparation, making it a promising solution to the rapid diagnosis of Trichomoniasis.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".