Application of Phase Images for Estimation of Peritoneal Macrophages State
Bibliographic record
Abstract
Procedure based on phase images obtained by the method of Laser Interference Microscopy (LIM) for detection of number non-activated, activated and dead isolated peritoneal macrophages in a sample in vitro was provided. The phase images provide quantitative estimates of the optical path difference (OPD) in each point of object. The OPD varies with cell thickness and concentration of cellular substances. Therefore, it provides useful information on cell structure, localization of subcellular structures, local concentrations of substances and dry mass of cell. In these work we propose a new assay for estimation a number of non-activated, activated and dead isolated peritoneal macrophages in a sample in vitro based on cell phase images. The results were compared with phagocytic index, which was evaluated using latex beads, and the percentage of cells with damaged membranes (dead cells). It was shown that with increasing time after the isolation, the percentage of dead macrophages estimated by LIM was similar to that of the cells with damaged membranes. However, the percentage of activated cells calculated using latex beads exceeded the percentage calculated using the phase images significantly.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".