Distinguishing 2N gamete nuclei from doublets in pollen using flow cytometry and pulse analysis
Bibliographic record
Abstract
The value of flow cytometry for quantifying unreduced (2N) pollen production in plants is well recognized; however, the approach has been limited by technical obstacles to obtaining high quality nuclei fluorescence histograms and the difficulty in distinguishing 2N nuclei from 1N doublets. Here, we use mathematical arguments and observations of fluorescence properties of angiosperm pollen nuclei to generate guidelines for applying pulse analysis to correct for doublets in pollen nuclei data. We show that the theoretical requirements for applying pulse analysis for doublet correction are met when nucleus fluorescence height and/or width measures in the unreduced gamete (2C DNA content) region exhibit bimodality (reflecting singlets and doublets) in combination with unimodal distributions of the same parameters in the reduced gamete (1C) region. These conditions are regularly met in the family Brassicaceae but not in the Asteraceae and Poaceae. We further show that when these requirements are met, pulse analysis estimates of doublet proportions are well correlated with estimates obtained with microscopy. We propose guidelines for doublet correction when estimating frequencies of unreduced male gametes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".