Heart‐on‐a‐Miniscope: A Miniaturized Solution for Electrophysiological Drug Screening in Cardiac Organoids
Bibliographic record
Abstract
Cardiovascular toxicity remains a primary concern in drug development, accounting for a significant portion of post-market drug withdrawals due to adverse reactions such as arrhythmias. Traditional preclinical models, predominantly based on animal cells, often fail to replicate human cardiac physiology accurately, complicating the prediction of drug-induced effects. Although human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide a more genetically relevant system, their use in 2D, static cultures does not sufficiently mimic the dynamic, 3D environment of the human heart. 3D cardiac organoids made from human iPSC-CMs can potentially bridge this gap. However, most traditional electrophysiology assays, developed for single cells or 2D monolayers, are not readily adaptable to 3D organoids. This study uses optical calcium analysis of human organoids combined with miniaturized fluorescence microscopy (miniscope) and heart-on-a-chip technology. This simple, inexpensive, and efficient platform provides robust on-chip calcium imaging of human cardiac organoids. The versatility of the system is demonstrated through cardiotoxicity assay of drugs known to impact cardiac electrophysiology, including dofetilide, quinidine, and thapsigargin. The platform promises to advance drug testing by providing a more reliable and physiologically relevant assessment of cardiovascular toxicity, potentially reducing drug-related adverse effects in clinical settings.
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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) | 0.000 | 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) | 0.000 | 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".