Monitoring organoid growth and drug response with label-free imaging

This article and associated images are based on a poster originally authored by Kanghyun Kim, Rubal Singla, Amey Chaware, Jieun Park, Ina Klockner, Josh Lerner, Kevin Li, Fanghong Shen, Clay Dugo, Paul Reamey, Aurélien Bègue, Mark Harfouche, Abhishek Mishra, Christopher A. McPherson, Jason L. Stein, Roarke Horstmeyer, and Kay Bhagabani and presented at ELRIG Drug Discovery 2026 in affiliation with Duke University, University of North Carolina, Ramona Optics Inc. and NIEHS.

This poster is being hosted on this website in its raw form, without modifications. It has not undergone peer review but has been reviewed to meet AZoNetwork's editorial quality standards. The information contained is for informational purposes only and should not be considered validated by independent peer assessment.

Imaging the same organoids every day shows when a drug effect appears, peaks, and fades, not only where it ends up.

  • 10 s per 96-well plate, 1 field × 20 planes, brightfield
  • 48 wells imaged at once, one lens per well
  • 15 daily reads of the same organoids, Day 17 to 31

01. The endpoint problem

Organoid assays often end in one destructive readout, such as fixation and staining or a lytic viability assay. Each well gives one number and no history. Tracking the same organoids daily needs whole-plate imaging through their full depth, fast enough to repeat every day. Single-objective imagers acquire each field and focal plane in turn, so a 96-well plate typically takes 7 to 53 minutes.

02. A 96-well plate in 10 seconds

Brightfield acquisition time for an empty 96-well plate, measured by the authors with identical settings on each system (60 ms exposure, 10 μm z-steps). Bars are scaled within each group. 53 min to 0.83 min is the paper

Brightfield acquisition time for an empty 96-well plate, measured by the authors with identical settings on each system (60 ms exposure, 10 μm z-steps). Bars are scaled within each group. 53 min to 0.83 min is the paper's 98% reduction. MCAS fluorescence uses step-and-settle and is slower (110 s for 80 planes). Image Credit: Kanghyun Kim et al., in partnership with ELRIG (UK) Ltd.

03. One lens per well

  • 48 lens-and-sensor pairs on a 9 mm pitch, one under each well. Two stage positions cover a 96-well plate. 24- and 384-well plates also fit.
  • In brightfield, the stage sweeps focus at constant speed while all 48 cameras record, with no stop-and-settle at each plane.
  • 0.3 NA lenses with 1.2 μm resolution, comparable to a 10× objective. GFP fluorescence with an added filter set.

Study instrument is a research multi-camera array scanner (MCAS)

The study instrument is a research multi-camera array scanner (MCAS). Image Credit: Kanghyun Kim et al., in partnership with ELRIG (UK) Ltd.

04. From plate to per-organoid numbers

Each well is imaged as a z-stack, max-projected, segmented with Segment Anything for Microscopy and stitched when an organoid spans fields. Outputs per organoid per day are area, eccentricity and GFP intensity

Each well is imaged as a z-stack, max-projected, segmented with Segment Anything for Microscopy and stitched when an organoid spans fields. Outputs per organoid per day are area, eccentricity and GFP intensity. Image Credit: Kanghyun Kim et al., in partnership with ELRIG (UK) Ltd.

05. Daily imaging separates three drug-response time courses

Cortical organoids from one iPSC line (PGP1) and one differentiation, 16 per condition, imaged every day from Day 17 to 31. CHIR99021 and valproic acid were washed out on Day 20. Mitomycin C was applied for 1 or 24 h.

Dips after media changes, clearest on Days 26 and 29 in all groups including controls, likely reflect peripheral debris, counted in the outline, being removed during the change rather than true shrinkage. Images were taken after media changes. Mean ± s.e.m., n = 16 organoids per condition; two-tailed Welch

Dips after media changes, clearest on Days 26 and 29 in all groups including controls, likely reflect peripheral debris, counted in the outline, being removed during the change rather than true shrinkage. Images were taken after media changes. Mean ± s.e.m., n = 16 organoids per condition; two-tailed Welch's t-test against the matched vehicle or water control at each day, * p < 0.05, ** p < 0.01. 2 × 2 fields × 170 planes per well, 132 s per plate. Image Credit: Kanghyun Kim et al., in partnership with ELRIG (UK) Ltd.

06. Shape changed before growth stalled

Monitoring organoid growth and drug response with label-free imaging

Image Credit: Kanghyun Kim et al., in partnership with ELRIG (UK) Ltd.

In a line that differentiated poorly, Condition 3 grew steadily. In Condition 2, eccentricity rose from Day 7 and growth stalled from Day 9. One line, n = 30 to 31. Shape is informative only up to about Day 14.

07. Imaged GFP intensity ranks with FACS

Monitoring organoid growth and drug response with label-free imaging

Image Credit: Kanghyun Kim et al., in partnership with ELRIG (UK) Ltd.

Seeded from mixes of GFP-reporter and unlabelled iPSCs. Summed GFP intensity ranked with the FACS GFP+ fraction, and every pair differed on Day 6 (p < 10−4). The ∼100% group was smaller (Day 6, p < 10−8).

08. Later-stage organoids, 24-well plates

Monitoring organoid growth and drug response with label-free imaging

Image Credit: Kanghyun Kim et al., in partnership with ELRIG (UK) Ltd.

Separate organoids from several lines at Days 35, 56, 70 and 84, moved from spinner flasks for imaging and returned, so a cross-sectional series. 7 × 7 fields × 40 planes in 468 s. The sharpest outline sat at −250, 0 and +250 μm for Day 35, 70 and 84 organoids, so a single plane could undersize them.

Monitoring organoid growth and drug response with label-free imaging

Image Credit: Kanghyun Kim et al., in partnership with ELRIG (UK) Ltd.

Conclusions

  1. Parallel lens-per-well imaging scanned a 96-well plate in 10 s versus 7 to 10 min on two commercial imagers, making daily imaging of the same organoids practical.
  2. Daily label-free size tracking separated a transient gain (CHIR99021), a drop then regrowth (valproic acid) and a sustained arrest (Mitomycin C). Single time points would describe these differently.
  3. The same platform flagged an early shape change in a poorly growing seeding condition and gave GFP readouts that ranked with FACS.

Why it matters for drug discovery

  • One plate yields a full time course, where destructive endpoint assays need a plate per time point.
  • Endpoint days can be chosen from data instead of assumed.
  • Transient and lasting effects can be told apart.
  • Handling artifacts, such as dips after media changes, become visible.

Limitations and next steps

Cross-sectional area is a 2D proxy, not volume or viability. Each experiment used one differentiation, with organoids as replicates, and the drug and reporter work used one iPSC line. Fluorescence in this research system is GFP-only and slower than brightfield. Next steps include more organoid models, faster fluorescence, on-stage incubation, and analysis during acquisition.

References

Kim, K., et al. (2026). Parallelized bright-field and fluorescence imaging platform for organoids. Cell Reports Methods, p.101601. DOI:10.1016/j.crmeth.2026.101601. https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(26)00302-4.

About Duke University

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Last Updated: Oct 29, 2026

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