Open Source 3D Printed ISO 8655 Compliant Multichannel Pipette
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Multichannel pipettes are used widely to accelerate research and testing in life sciences laboratories and within the biomedical industry. Commercial multichannel pipettes cost several hundred to thousand U.S. dollars and are not accessible in many areas. This study utilizes an open source and digital distributed manufacturing model to design a USD$24 4-channel 200 micro-liter pipette. The design uses widely-available interchangeable off-the-shelf parts and custom components, which can be fabricated with a low-cost fused-filament RepRap-class desktop 3D printer. The manuscript describes the design, construction, and validation of an ergonomic open-source multichannel pipette, as well as the evaluation of pipetting parameters and quality control. The open source multichannel pipette is found to be compliant with ISO 8655 standards for precision and accuracy. The device has separate syringes that operate individual tips, which prevents cross contamination of specimens because there is no direct contact of different liquids with each other and no mixing with actuating air. Each syringe is easily replaced for different experiments and the source CAD files are provided to enable others to build variants or custom configurations of the open source multichannel pipette. <strong>Metadata Overview</strong> Main design files: <a href="https://osf.io/9tn6e/" target="_blank"><em>https://osf.io/9tn6e/</em></a> Target group: chemistry, biochemistry, biology, biomedical, medical, and associated disciplines Skills required: desktop 3D printing – easy, mechanical assembly – easy Replication: <em><a href="https://www.appropedia.org/Open_Source_3-D_Printed_ISO_8655_Compliant_Multichannel_Pipette" target="_blank">https://www.appropedia.org/Open_Source_3-D_Printed_ISO_8655_Compliant_Multichannel_Pipette</a></em> for comments and feedback. <em>See section “Build Details” for more detail</em>.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.003 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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