Application of image flow cytometry and photoacoustics for the characterization of red blood cell storage lesions
Bibliographic record
Abstract
Significant functional/structural changes of red blood cells (RBCs) have been documented during its in vitro storage. Collectively termed as RBC storage lesions, changes include an increase in RBC oxygen saturation (SO2) and an increase in irreversibly damaged RBCs (spheroechinocytes). In this work, novel optical techniques are presented for determining the spheroechinocyte population as a function of storage time via automated image flow cytometry (IFC) morphology characterization, and the acquisition of RBC SO2 via an in situ photoacoustic (PA) method. Blood gas analysis (BGA) was used as the gold standard SO2 measure. Over the lifespan of seven blood bags, the IFC spheroechinocyte population – PA SO2 correlation was found to be strong (0.600.95) shows high potential for in situ monitoring of RBC storage lesions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".