Fast 3D Optoacoustic Mesoscopy of Neuromelanin Through Entire Human Midbrain Organoids at Single‐Cell Resolution
Bibliographic record
Abstract
Abstract Parkinson's disease is a devastating neurodegenerative disorder characterized by loss of neuromelanin‐containing dopaminergic neurons. Novel 3D culture systems like human midbrain‐like organoids (hMOs) enable new research avenues for patient‐specific therapies, but cannot reach their full potential unless rapid optical imaging of entire organoids is enabled. Currently, hMOs have to undergo tissue clearing processes before imaging to overcome light scattering. Since tissue clearing is a lengthy chemical procedure, large ensemble studies and pharmacological longitudinal studies, which require live cultures, are impossible. To address this obstacle, raster scanning optoacoustic mesoscopy (RSOM) is considered for imaging intact hMOs. RSOM is an optical imaging technique that leverages the optoacoustic effect to overcome the need of tissue clearing. Moreover, by using tomographic principles, large specimens can be imaged within minutes. The results confirm that RSOM can image the neuromelanin distribution in complete hMOs at a single‐cell resolution. Whole hMO volumes of standard size can be imaged in 4 min. Comparison with bright‐field microscopy and histology confirms the ground truth of the RSOM images. This work opens several research opportunities regarding neuromelanin in hMOs with potential to boost research in Parkinson disease.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".