Cigarette Smoke-Induced Cell Morphology via Keyence and Zeiss Microscopy
Bibliographic record
Abstract
Cigarette smoke exposure induces oxidative stress, disrupts gene regulation, and causes morphological alterations in lung epithelial cells.While conventional methods such as qPCR and Western blotting are often used to study these effects, they are costly, labor-intensive, and unsuitable for rapid screening.In this study, we introduce a cost-effective imaging strategy to characterize early cellular responses of human bronchial epithelial cells (HBEpCs) to cigarette smoke extract (CSE).For the first time, the Keyence VHX-7000 digital microscope was employed to systematically analyze CSE-induced morphological changes, with direct comparison to the established Zeiss Axiovert 200M inverted fluorescence microscope.Quantitative analysis revealed consistent trends across both systems, demonstrating that the Keyence platform effectively captures morphological alterations with high throughput and minimal sample preparation.These findings establish the Keyence VHX-7000 as a viable, scalable alternative for preliminary cellular injury assessments, offering a practical tool for accelerating research into smoking-related lung and cardiovascular diseases.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".