Experimental approaches used to quantify physical parameters at cellular and subcellular levels
Bibliographic record
Abstract
From a mechanical point of view, plant and hyphal cells are more complex than their animal counterparts because the variety of structural components determining cellular architecture is broader. In addition to cytoskeletal elements and the plasma membrane, the cell wall and turgor pressure equip plant and hyphal cells with structures analogous to an exoskeleton and a hydroskeleton, respectively. To quantify the physical properties of plant and hyphal cells, researchers have developed a plethora of experimental methods. This review provides an overview of experimental approaches that have been used to measure turgor pressure and to determine the mechanical properties of the plant cell wall at the subcellular level. It is completed by a glimpse into the arsenal of techniques that has been used to characterize the physical properties of cytoskeletal elements. These have mostly been used on animal cells, but we hope they will find their way into plant cell research. Finally, assays and tests to measure the generation of forces by cells and subcellular structures are discussed.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".