Batch fabrication of ultra-sharp atomic force microscope probes with stair-shaped handles for high-precision imaging
Why this work is in the frame
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Bibliographic record
Abstract
Atomic force microscope (AFM) systems rely on silicon (Si) probes for precise nanoscale characterization across diverse environments. However, fabricating high-aspect-ratio (HAR) and sharp Si tips and optimizing the handle geometries remain significant challenges. Conventional HAR probe fabrication methods lack scalability, precision, and cost efficiency, while cuboid-shaped handles risk obstructing laser detection and limiting compatibility. This study presents an innovative batch-fabrication strategy for high-performance Si AFM probes that integrate ultra-sharp HAR tips, rectangular cantilevers, and universally compatible stair-shaped handles. Notably, the tip fabrication process employs only low-cost microscale ultraviolet (UV) lithography, while still achieving nanoscale structural resolution. The fabricated probes exhibit a tip apex radius of 5 nm and a half-cone angle of 7.5°, enabling high-resolution and high-fidelity imaging. The novel stair-shaped handle geometry is introduced and fabricated via a single-step dry etching process, which provides unobstructed laser detection and ensures compatibility with a broad range of commercial AFM platforms. Durability testing demonstrates stable scanning performance for up to 8 hours within the 100 nm precision range, confirming the mechanical reliability of the design. This scalable, reproducible, and high-yield fabrication strategy represents a significant advancement in HAR AFM probe development, providing enhanced performance and extended applicability for diverse nanoscale imaging applications.
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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 it