A VR ENHANCED COLLABORATIVE SYSTEM FOR 3D CONFOCAL MICROSCOPIC IMAGE PROCESSING AND VISUALIZATION
Bibliographic record
Abstract
With the rapid advancement in high-resolution confocal imaging, various forms of microscopy deliver substantial amount of valuable 3D cell biological information. Currently, image processing, modeling, visualization and analysis on confocal microscopic datasets are, however, still more or less following the traditional fashion that is 2D centric via a slice-by-slice strategy. Such image sequence based operations not only leads to lengthy processing times but also can potentially cause problems in data communication and interpretation, and knowledge discovery in a global 3D cellular level. In this paper, we describe our solution for processing, visualization and quantification of 3D confocal images with the CellStudio system we developed. CellStudio has a collaborative feature allowing 3D confocal data to be collected and retrieved across the net. CellStudio is also an integrated solution enabling 3D confocal image processing, volumetric visualization and interactive quantification performed in a network connected PC/Window platform.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.010 |
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".