A scalable robotic-based laboratory automation system for medium-sized biotechnology laboratories
Bibliographic record
Abstract
This paper presents a new approach to laboratory automation integration with applications in automatic execution of various biotechnology (genomics and proteomics) protocols. The new configuration is called "tower-based configuration". It provides a scalable workcell that also includes instrumentation for sub-processes such as vortexing, shaking, incubation etc. Tower-based automation is a robotic-based configuration that allows improving the throughput of automated system without changing the robotic workspace or increasing the footprint of the system. Tower configuration consists of two arms mounted on a common cylindrical base, and is surrounded by stackers that carry laboratory processing instruments, labwares and other accessories. The requirement of high throughput is satisfied by parallel processing. A conceptual tower-based automated system for magnetic isolation of TAP tagged protein complexes protocol is presented and compared with a traditional automated system. Our performance investigation showed that the tower-based configuration has a high throughput to footprint ratio, high scalability, and wide protocol flexibility in comparison with traditional laboratory automation approaches.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".