Engineered Retroviruses as Fluorescent Biological Reference Particles for Small Particle Flow Cytometry
Bibliographic record
Abstract
ABSTRACT There has been renewed interest in the use of flow cytometry for single particle phenotypic analysis of particles in the nanometer size-range such as viruses, organelles, bacteria and extracellular vesicles (EVs). However, many of these particles are smaller than 200 nm in diameter, which places them at the limit of detection for many commercial flow cytometers. The use of reference particles of diameter, fluorescence, and light-scattering properties akin to those of the small biological particles being studied is therefore imperative for accurate and reproducible data acquisition and reporting across different instruments and analytical technologies. We show here that an engineered murine leukemia virus (MLV) can act as a fluorescence reference particle for other small particles such as retroviruses and EVs. More specifically, we show that engineered MLV is a highly monodisperse enveloped particle that can act as a surrogate to demonstrate the various effects of antibody labeling on the physical properties of small biological particles in a similar diameter range.
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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 | 0.002 | 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 | 0.001 |
| 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 | 0.000 |
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".