Development and deployment of a point‐source digital inline holographic microscope for the study of plankton and particles to a depth of 6000 m
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
A point‐source digital inline holographic microscope (DIHM) was designed for the imaging of particles from 50 µm to several millimeters in size. The DIHM operates autonomously without connection to external recording devices or power sources and delivers 4.2 megapixel images at a rate of approximately 7 images s −1 , each image representing a snapshot of 1.8 mL seawater. Reliance on largely off‐the‐shelf components, and simplification in its construction makes this camera system adaptable to various particle size ranges and environments, and easy‐to‐operate for nonexpert users. The DIHM produced sharp images of protists with skeletal structures (e.g., acantharians, tintinnids, dinoflagellates), mesoplankton (e.g., copepods, appendicularians, medusae), Trichodesmium colonies and marine snow particles while descending in the water column at 1 m s −1 , a typical velocity for deployments of tethered instruments and samplers from oceanographic vessels. To validate the usefulness of the new instrument in an oceanographic context, data are presented of the surface distribution of Trichodesmium spp., and of the vertical frequency distribution of fecal pellets and other particles in the deep sea. The point‐source DIHM has the potential to become a standard instrument on the CTD rosette (i.e., on the basic oceanographic instrument and sampling frame) in the future providing a permanent archival record of the water column that can be mined for specific target particles in the future.
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 | 0.000 | 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 it