ArticleAnalytical chemistry2025
Label-Free Longitudinal Imaging of Single Cell Drug Response with a 3D-Printed Cell Culture Platform.
Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Longitudinal live-cell chemical imaging using coherent Raman scattering microscopy.The Analyst · 2026Review
- Label-Free Visualization of the Antifungal Polyene Drug, Nystatin, in Biological Membranes Using Raman Microscopy.Analytical chemistry · 2026Article
Corrections and comments
- Update of
Authors and funding
7 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.