On‐Chip Rotation of <i>Caenorhabditis elegans</i> Using Microfluidic Vortices
Bibliographic record
Abstract
Abstract Precise and controllable rotation of small biological samples is essential to many biological and medical applications. This paper reports, an easy‐to‐use microfluidic device to rotate single nematode worm Caenorhabditis elegans in a reliable and controllable fashion, which was enabled by on‐chip generation of stable microscale vortices inside a worm‐loaded microchannel by fluidic shear stress. To test the capability of the proposed device, single worms were successfully rotated in continuous and stepwise modes. Using this device, clear visualization of all dopaminergic neurons in the head of a C. elegans was demonstrated by capturing fluorescence images of the worm body at several rotational angles. Multiple perspectives of individual neurons of a multi‐color fluorescent transgenic worm were also obtained at high resolution using laser‐scanning confocal microscopy. The results show that this microfluidic rotation device provides a simple solution to overcoming limitations of confocal microscopy when imaging relatively thick tissue samples such as an adult C. elegans, and is compatible with multiple fluorescent proteins with different spectral properties. With its controllability, precision, and simplicity in fabrication and operation, this microfluidic device has important utility in model organism studies.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".