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Updated: Aug 19, 2026

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
Published on: August 29, 2025
Detecting drug-induced nephrotoxicity using simultaneous label-free autofluorescence multiharmonic microscopy
Aneesh Alex1,2, Jindou Shi1,3,4, Eric J Chaney1,3
1GSK Center for Optical Molecular Imaging, Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States.
Abstract:
Drug-induced nephrotoxicity (DIN) is a major cause of drug development failure, yet many cases are detected only late in clinical trials or after approval. Conventional methods to detect DIN often lack sensitivity and specificity, particularly for early or region-specific kidney injury. Here, we evaluate Simultaneous Label-free Autofluorescence Multiharmonic (SLAM) microscopy as a rapid, label-free imaging approach to quantify kidney microstructural and functional metabolic changes associated with DIN. SLAM simultaneously captures endogenous NAD(P)H and FAD autofluorescence, collagen-derived second harmonic generation, and third-harmonic generation from structural interfaces. SLAM images were acquired from the cortex and outer medulla (OM) of rat kidneys after cisplatin dosing at days 1, 6, and 29 post-administration. Imaging revealed region-specific injury, with the OM showing greater sensitivity to DIN than the cortex. The most prominent changes-tubular degeneration and hyaline casts-peaked at day 6, whereas tubular dilation and fibrosis-related features persisted to day 29. Feature-based classification captured these spatial and temporal patterns, achieving higher balanced accuracy in the OM (0.944) than in the cortex (0.860). Key model drivers included granularity and inter-channel correlations, underscoring the value of multi-channel SLAM data. Overall, these results demonstrate the potential of SLAM microscopy for sensitive, region-specific detection and characterization of DIN in preclinical safety studies. SLAM microscopy provides a rapid, label-free way to detect, localize, and classify drug-induced nephrotoxicity with improved sensitivity and regional specificity, potentially strengthening preclinical kidney safety screening and reducing late-stage development failures.
Insights
Simultaneous Label-free Autofluorescence Multiharmonic (SLAM) microscopy offers a rapid, label-free method to detect drug-induced nephrotoxicity. This technique reveals region-specific kidney injury patterns in preclinical studies.
Area of Science:
- Biomedical Imaging
- Toxicology
- Drug Development
Background:
- Drug-induced nephrotoxicity (DIN) is a significant hurdle in drug development, often detected late due to limitations in conventional methods.
- Early and region-specific detection of kidney injury is crucial for accurate safety assessment.
Purpose of the Study:
- To evaluate Simultaneous Label-free Autofluorescence Multiharmonic (SLAM) microscopy for quantifying kidney microstructural and metabolic changes in drug-induced nephrotoxicity.
- To assess the sensitivity and specificity of SLAM for detecting region-specific kidney injury.
Main Methods:
- SLAM microscopy was used to image rat kidneys post-cisplatin administration, capturing autofluorescence (NAD(P)H, FAD) and harmonic signals.
- Images were acquired from the cortex and outer medulla (OM) at Days 1, 6, and 29.
- Feature-based classification models were developed to analyze spatial and temporal injury patterns.
Main Results:
- SLAM imaging identified region-specific nephrotoxicity, with the OM being more sensitive than the cortex.
- Key injury markers like tubular degeneration and hyaline casts peaked at Day 6, while tubular dilation and fibrosis persisted.
- Classification models achieved high balanced accuracy (OM: 0.944, Cortex: 0.860), driven by granularity and inter-channel correlations.
Conclusions:
- SLAM microscopy provides a sensitive, label-free approach for early, region-specific detection and characterization of drug-induced nephrotoxicity.
- The multi-channel data from SLAM is valuable for identifying distinct injury patterns in preclinical safety evaluations.

