Improving Screening Workflows For 3D Applications

Screening 3D models often involves tradeoffs between image quality, throughput, and sample viability. Advances in whole-sample imaging and quantitative fluorescence analysis are helping researchers overcome limitations such as restricted fields of view, complex acquisition settings, photobleaching, phototoxicity, and lengthy post-processing workflows. Using a neuronal organoid model of Zika virus infection, scientists were able to image organoids up to 1 mm in diameter, track changes daily, and generate more consistent longitudinal datasets. These approaches provide deeper insight into growth dynamics, structural changes, viability, and treatment response while improving reproducibility across experiments.

Explore how improved imaging and analysis methods can support more efficient and reliable 3D sample characterization.