Design and fabrication of a microfluidic device to investigate the deformability of engineered red blood cells
Bibliographic record
Abstract
Immune reactions occurring as a result of a blood transfusion remain an issue in today's medical society.Many alternatives have been suggested, from artificial hemoglobin to cleaving antigens on the red blood cell's surface, as well as universal blood.However, one particular technique has been shown to yield positive results; sometimes referred to as immunocamouflage, or stealth erythrocytes, it implies the masking of red blood cell antigens by adding layers of natural polymers to the cell's surface, without disturbing its biological function.The principle of immunocamouflage of RBCs through the layer-by-layer (LbL) selfassembly technique has previously been developed by our laboratory.Questions were however raised as to whether the coating surrounding the RBCs would persist after their passage through human capillaries.To address this issue, a microfluidic device was designed and fabricated to simulate the passage of red blood cells through human capillaries.Varying channel widths mimicking the diameters of small blood vessels in the body were used: 0.002mm, 0.004 mm, 0.006 mm, 0.008 mm, 0.01 mm and a control of 0.1 mm.Three final optimized designs are provided and each presents a different environment for the red blood cell to overcome.The first mimics the incremental narrowing of a blood vessel diameter, the second presents the RBCs with 5 bifurcations and the third design forces the RBC to adapt to a curved channel.The functionality of the devices was verified with the successful passage of liposomes through the channels of the designed microfluidic systems.The purpose of such a device is to then investigate whether the immunocamouflage properties of engineered RBCs maintain their properties, particularly, the immunocamouflage feature after passing through tiny microfluidic channels.
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.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".