Stable J‐Aggregation of an aza‐BODIPY‐Lipid in a Liposome for Optical Cancer Imaging
Bibliographic record
Abstract
Abstract Organic building blocks are the centerpieces of “one‐for‐all” nanoparticle development. Herein, we report the synthesis of a novel aza‐BODIPY‐lipid building block and its self‐assembly into a liposomal nanoparticle (BODIPYsome). We observed optically stable NIR J‐aggregation within the BODIPYsome that is likely attributed to J‐dimerization. BODIPYsomes with cholesterol showed enhanced colloidal stability while maintaining a high extinction coefficient (128 m m −1 cm −1 ) and high fluorescence quenching (99.70±0.09 %), which enables photoacoustic (PA) properties from its intact structure and recovered NIR fluorescence properties when it is disrupted in cancer cells. Finally, its capabilities for optical imaging (PA/fluorescence) were observed in an orthotopic prostate tumor mouse model 24 h after intravenous administration. Overall, the BODIPYsome opens the door for engineering new building blocks in the design of optically stable biophotonic imaging agents.
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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".