Biomedical Applications of Semiconductor Quantum Dots
Bibliographic record
Abstract
In recent decades‚ the exquisite sensitivity and versatility of optical technologies have led to numerous breakthroughs in biological research‚ including real-time imaging of live cells‚ gene expression profiling‚ cell sorting‚ and clinical diagnostics. A key component in optical detection schemes is the probe design. These probes are constructed from organic fluorophores‚ such as fluorescein and tetramethylrhodamine (TMR)‚ and recognition molecules. The optical emission of fluorophores is used to visualize the activities of biomolecules‚ while the recognition molecules direct the fluorophores to specific cells‚ tissues‚ or organs. Although optical probes are widely used‚ most organic fluorophores exhibit unfavourable properties that have hampered their applications in single-protein tracking in living cells‚ molecular pathology‚ and other research areas. These properties include photobleaching‚ sensitivity to environmental conditions‚ and inability to excite multiple fluorophores using a single wavelength. A new generation of probes has emerged in the last five years that overcomes many of the limitations associated with organic fluorophores. These probes employ fluorophores that are sub-100 nm in size and composed of inorganic atoms. Unlike organic-only fluorophores‚ the optical and electronic properties of inorganic fluorophores can be tuned during the synthesis process by changing their size‚ shape‚ or composition. In this chapter‚ we will describe the use of one type of inorganic fluorophore‚ semiconductor nanocrystals‚ for the development of “custom-designed” probes for biomedical detection. Semiconductor nanocrystals‚ also known as “quantum dots” (qdots)‚ are typically composed of atoms from groups II-VI (CdSe‚ CdS‚ ZnSe) and III-V (InP and InAs)‚ and are defined as particles with physical dimensions smaller than the Bohr exciton radius. The Bohr exciton radius of prototypical CdSe qdots‚ as illustrated in Fig. 1‚ is ~10 nm. The unique optical and electronic properties of qdots have spurred a great deal of research into their potential applications in the design of novel biological probes‚ light emitting diodes‚ photovoltaic cells‚ among other devices.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".