Fluorescence as an alternative to light-scatter gating strategies to identify frozen–thawed cells with flow cytometry
Bibliographic record
Abstract
Flow cytometry is a key instrument in biological studies, used to identify and analyze cells in suspension. The identification of cells from debris is commonly based on light scatter properties as it has been shown that there is a relationship between forward scattered light and cell volume and this has become common practice in flow cytometry. Cryobiological conditions induce changes in cells that alter their light scatter properties. Cells with membrane damage from freeze-thaw stress produce lower forward scatter signals and may fall below standard forward scatter thresholds. In contrast to light scatter properties that cannot identify damaged cells from debris, fluorescent dyes used in membrane integrity and mitochondrial polarization assays are capable of labeling and discriminating all cells in suspension. Under cryobiological conditions, isolating cell populations is more effectively accomplished by gating on fluorescence rather than light scatter properties. This study shows the limitations of using forward scatter thresholds in flow cytometry to identify and gate cells after exposure to a freeze-thaw protocol and demonstrates the use of fluorescence as an alternative means of identifying and analyzing cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".