Label-Free Longitudinal Imaging of Single Cell Drug Response with a 3D-Printed Cell Culture Platform

Image-based phenotypic screening has emerged as a powerful tool for revealing single-cell heterogeneity and dynamic phenotypic responses in preclinical drug discovery. Compared to traditional static end point assays, live-cell longitudinal imaging captures the temporal trajectories of individual cells, including transient morphological adaptations, motility shifts, and divergent subpopulation behaviors, enabling high content features and more robust early prediction of treatment outcomes. Fluorescence-based screening, while highly specific, is constrained in live-cell contexts by broad spectral overlaps (limiting multiplexing to fewer than six channels), bulky fluorophores that may perturb small-molecule interactions, and photobleaching or phototoxicity under repeated excitation. Stimulated Raman scattering (SRS) microscopy overcomes these barriers by delivering label-free, quantitative chemical contrasts alongside morphological information. Here, we present a low-cost, 3D-printed cell culture platform compatible with the stringent optical requirements of an SRS microscope. This setup enables real-time drug delivery and continuous monitoring of biochemical and morphological changes in living cells during 24 h time-lapse imaging with minimal photodamage. We outline a processing pipeline for longitudinal SRS images to extract chemical and morphological features of single live cells. Using this system, we showcase time-lapse SRS microscopy as a tool to map heterogeneous drug-induced single-cell response over time, enabling the identification of varying trajectories within complex cell populations. By parallelizing multiwell perfusion with label-free chemical imaging, our approach provides a pathway toward high-throughput pharmacodynamic assays, accelerating phenotypic screening and personalized medicine.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-11-20
DOI
https://doi.org/10.1021/acs.analchem.5c04806
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Label-Free Longitudinal Imaging of Single Cell Drug Response with a 3D-Printed Cell Culture Platform

Victoria Pang, WU Yu-ling, Kit Chiu, Dan Fu et al.
Analytical Chemistry
3D Printing in Biomedical Research
article

Label-Free Longitudinal Imaging of Single Cell Drug Response with a 3D-Printed Cell Culture Platform

Victoria Pang, WU Yu-ling, Kit Chiu, Dan Fu, Brian S. Wong, Erin L. Dunnington, Anthony Chales-Antonio
article en

Abstract

Image-based phenotypic screening has emerged as a powerful tool for revealing single-cell heterogeneity and dynamic phenotypic responses in preclinical drug discovery. Compared to traditional static end point assays, live-cell longitudinal imaging captures the temporal trajectories of individual cells, including transient morphological adaptations, motility shifts, and divergent subpopulation behaviors, enabling high content features and more robust early prediction of treatment outcomes. Fluorescence-based screening, while highly specific, is constrained in live-cell contexts by broad spectral overlaps (limiting multiplexing to fewer than six channels), bulky fluorophores that may perturb small-molecule interactions, and photobleaching or phototoxicity under repeated excitation. Stimulated Raman scattering (SRS) microscopy overcomes these barriers by delivering label-free, quantitative chemical contrasts alongside morphological information. Here, we present a low-cost, 3D-printed cell culture platform compatible with the stringent optical requirements of an SRS microscope. This setup enables real-time drug delivery and continuous monitoring of biochemical and morphological changes in living cells during 24 h time-lapse imaging with minimal photodamage. We outline a processing pipeline for longitudinal SRS images to extract chemical and morphological features of single live cells. Using this system, we showcase time-lapse SRS microscopy as a tool to map heterogeneous drug-induced single-cell response over time, enabling the identification of varying trajectories within complex cell populations. By parallelizing multiwell perfusion with label-free chemical imaging, our approach provides a pathway toward high-throughput pharmacodynamic assays, accelerating phenotypic screening and personalized medicine.

Analytical ChemistryVol. 97(47)
University of Washington (US)
Openalex Percentile: Top 66%
3D Printing in Biomedical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.