Two-Photon Upconversion Laser (Scanning and Wide-Field) Microscopy Using Ln<sup>3+</sup>-Doped NaYF<sub>4</sub> Upconverting Nanocrystals: A Critical Evaluation of their Performance and Potential in Bioimaging
Bibliographic record
Abstract
We report a simple, yet effective method to disperse NaYF 4 nanocrystals (NCs) doped with luminescent Ln 3+ ions in water and physiological buffers using an amphiphilic polymer poly(ethylene glycol) monooleate. These water-dispersible NCs were used for in vivo imaging by employing two-photon upconversion laser scanning microscopy (TPULSM) and two-photon upconversion wide field microscopy (TPUWFM) techniques. Using the 800 nm upconverted emission from Tm 3+ ions, we show that (i) TPULSM imaging can be performed up to a depth of ∼600 μm inside an agar-milk gel tissue phantom and (ii) the edges of the object can still be identified. At depths beyond 600 μm, we observed a drastic decrease in the lateral resolution. Images of a mouse lung tissue obtained using this technique resulted in a lateral resolution with which we could observe the capillaries surrounding the alveoli air caps. The images lacked optical sectioning due to the high power density (∼2000 W/cm 2 ) necessary to achieve an adequate signal-to-noise ratio. In addition, the time taken to obtain these images was prolonged because of the slow scanning speed necessitated by the long lifetimes and the poor quantum yield of the upconversion process. Conversely, in vivo TPUWFM imaging using the same 800 nm emission of brain blood vessels of a mouse after skull thinning gave excellent lateral resolution to differentiate blood vessels separated by a few micrometers. In addition to this, optical sectioning was observed over a depth of 100 μm, which is the first instance of optical sectioning shown in in vivo imaging employing Ln 3+ -doped NCs as imaging agents. Experiments with the aforementioned tissue phantom showed that imaging up to a depth of ∼400 μm could be obtained with the 800 nm emission from Tm 3+ /Yb 3+ codoped NaYF 4 NCs with a lateral resolution that allows us to distinguish micrometer-sized biological structures. In contrast, when employing the green upconverted emission from Er 3+ /Yb 3+ codoped NaYF 4 NCs, lateral resolution was completely lost at a depth of ∼300 μm.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".