Two-Photon Laurdan Studies of the Ternary Lipid Mixture DOPC:SM:Cholesterol Reveal a Single Liquid Phase at Sphingomyelin:Cholesterol Ratios Lower Than 1
Bibliographic record
Abstract
The ternary lipid mixture DOPC:eggSM:cholesterol in excess water has been studied in the form of giant unilamellar vesicles using two-photon fluorescence microscopy. Previous publications based on single-photon fluorescence microscopy had reported heterogeneous phase behavior (phase coexistence) in the region of the triangular phase diagram corresponding to SM:cholesterol molar ratios <1. We have examined this region by two-photon microscopy of Laurdan-labeled mixtures and have found that, under our conditions, only a single liquid phase exists. We have shown that macroscopic phase separation in the above region can be artifactually induced by one-photon excitation of the fluorescent probes and ensuing photooxidation and is prevented using two-photon excitation. The main effect of increasing the concentration of cholesterol in mixtures containing 30 mol % SM was to increase the rigidity of the disordered domains. Increasing the concentration of SM in mixtures containing 20 mol % cholesterol gradually augmented the rigidity of the ordered domains, while the disordered domains reached minimal order at a SM:cholesterol 2.25:1 molar ratio, which then increased again. Moreover, the detailed measurement of Laurdan generalized polarization across the whole phase diagram allowed the representation, for both the single- and two-phase regions, of the gradual variation of membrane lateral packing along the diagram, which we found to be governed largely by SM:cholesterol interactions.
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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 | 0.000 | 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 | 0.001 |
| 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".