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Record W2290850235 · doi:10.1002/cnma.201600038

Nanostructure‐Dependent Ratiometric NIR Fluorescence Enabled by Ordered Dye Aggregation

2016· article· en· W2290850235 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueChemNanoMat · 2016
Typearticle
Languageen
FieldEngineering
TopicNanoplatforms for cancer theranostics
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchTerry Fox Research InstitutePrincess Margaret Cancer Foundation
KeywordsNanocarriersFluorescenceNanostructureNanotechnologyBiophysicsChemistryFluorescence-lifetime imaging microscopyMaterials scienceNanoparticleBiologyPhysics

Abstract

fetched live from OpenAlex

Abstract Nanocarriers incorporating therapeutic and imaging agents within a single nanostructure are emerging tools for drug development and treatment planning. Additional information can be provided using activatable fluorescence that dynamically reports nanocarrier disruption and drug release. Dual‐wavelength activation encodes a unique fluorescence signal for each nanocarrier state, enabling use of ratiometric imaging to measure the proportion of intact and disrupted nanocarriers within tissues. Here we investigate dual‐wavelength activation using a single dye whose optical properties are intricately linked to the nanocarrier structure. Natural bacteriochlorophyll incorporated within a compact lipoprotein nanocarrier forms ordered dye aggregates with red‐shifted fluorescence emission from 765 nm to 825 nm. We demonstrate that bacteriochlorophyll‐ordered aggregation is a feasible strategy to distinguish intact and disrupted theranostic nanocarriers by ratiometric fluorescence imaging.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.182
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it