Utilization of 3D printing for an intravital microscopy platform to study the intestinal microcirculation
Bibliographic record
Abstract
Intravital microscopy of the intestine is a sophisticated technique that allows qualitative and quantitative in vivo observation of dynamic cellular interactions and blood flow at a high resolution. Physiological conditions of the animal and in particular of the observed organ, such as temperature and moisture are crucial for intravital imaging. Often, the microscopy stage with the animal or the organ of interest imposes limitations on how well the animal can be maintained. In addition, the access for additional oxygen supply or drug administration during the procedure is rather restricted. To address these limitations, we developed a novel intravital microscopy platform, allowing us to have improved access to the animal during the intravital microscopy procedure, as well as improved microenvironmental maintenance. The production process of this prototype platform is based on 3D printing of device parts in a single-step process. The simplicity of production and the advantages of this versatile and customizable design are shown and discussed in this paper. Our design potentially represents a major step forward in facilitating intestinal intravital imaging using fluorescent microscopy.
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 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 | 0.002 | 0.001 |
| 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".