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Record W2964005235 · doi:10.1117/12.2526893

Detection of trichomonal vaginalis through lensless optofluidic microscopy

2019· article· en· W2964005235 on OpenAlexaff
Jessica Kun, Marek Smieja, Leyla Soleymani, Qiyin Fang

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Fluorescence Microscopy Techniques
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMicroscopyOpticsMaterials scienceOptical microscopePhysicsScanning electron microscope

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.280
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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