Multimodal Nonlinear Hyperspectral Chemical Imaging Using Line-Scanning Vibrational Sum-Frequency Generation Microscopy
December 1st, 2023
A multimodal, rapid hyperspectral imaging framework was developed to obtain broadband vibrational sum-frequency generation (VSFG) images, along with brightfield, second harmonic generation (SHG) imaging modalities. Due to the infrared frequency being resonant with molecular vibrations, microscopic structural and mesoscopic morphology knowledge is revealed of symmetry-allowed samples.
We aim to study mesoscopically heterogeneous self-assembled samples, such as biological tissues, to reveal their chemical composition and molecular arrangements. We are exploring how the microscopic arrangement and mesoscopic morphology of these self materials relate to their microscopic properties. With advances in high numerical aperture and reflective-based microscope objectives, we as well as others have demonstrated vibrational sum-frequency generation microscope with one square micron resolution, which can simultaneously record images of soft materials and also spatially resolve the spectral, forming the so-called hyperspectral images.
Hyperspectral imaging records experimental data in multiple dimensions, two in spaces, one in frequency and possibly one in time. However, quick collection, storage, and analysis of such big data to maximize information remains a challenge. Sampling the image only to collect useful data points is also challenging.
By developing a faster line-scanning technology, we could accelerate the data acquisition time by 100-fold. Furthermore, the microscope is compatible with sum-frequency generation or SFG, second harmonic generation or SHG, as well as broad-field imaging. Multimodality imaging allows quick inspection of samples using optical imaging and correlating various image modalities.
SHG imaging assists the optical technique of our technique, but without the spectral resolving power, is widely used in biophysics. Our SFG microscope will now be able to provide powerful molecular level insights currently missing in biophysical studies of soft tissues.
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Overview
This study presents a multimodal hyperspectral imaging framework designed to capture broadband vibrational sum-frequency generation (VSFG) images alongside brightfield and second harmonic generation (SHG) imaging modalities. The framework aims to enhance the understanding of microscopic and mesoscopic structures in self-assembled biological tissues.
Key Study Components
Area of Science
- Neuroscience
- Biophysics
- Imaging Techniques
Background
- Self-assembled samples exhibit mesoscopic heterogeneity.
- Understanding chemical composition and molecular arrangements is crucial.
- Advancements in microscopy have improved resolution and imaging capabilities.
- Hyperspectral imaging captures data across multiple dimensions.
Purpose of Study
- To investigate the relationship between microscopic arrangement and mesoscopic morphology.
- To enhance the imaging of soft materials at high resolutions.
- To address challenges in data collection and analysis in hyperspectral imaging.
Methods Used
- Development of a multimodal imaging framework.
- Utilization of vibrational sum-frequency generation microscopy.
- Simultaneous recording of multiple imaging modalities.
- Data collection and analysis techniques for hyperspectral images.
Main Results
- Successful acquisition of broadband VSFG images.
- Enhanced resolution in imaging self-assembled biological tissues.
- Insights into the structural and morphological characteristics of samples.
- Identification of challenges in data management and analysis.
Conclusions
- The developed framework significantly advances imaging capabilities.
- It provides valuable insights into the properties of biological tissues.
- Future work will focus on improving data processing techniques.
Frequently Asked Questions
Executive Industry Relevance
Multimodal nonlinear hyperspectral chemical imaging using line-scanning VSFG microscopy enables high-resolution, label-free visualization of chemical and structural heterogeneity in biological tissues and self-assembled materials. This capability addresses a critical gap in resolving mesoscopic morphology and molecular arrangement, supporting predictive confidence in early discovery and target validation. The approach enhances portfolio decision-making by providing molecular-level insights that are not accessible with conventional imaging modalities.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Enables direct visualization of non-centrosymmetric and chiral structures relevant to biological targets.
- Supports functional target validation by correlating chemical composition with mesoscopic morphology.
- Improves predictive confidence in mechanistic studies of soft tissue and self-assembled systems.
Screening & Assay Development
- Facilitates preparation of validated biological systems for downstream screening workflows.
- Provides quantitative, spatially resolved chemical information for assay standardization.
- Enables reproducible imaging of heterogeneous samples, supporting reliable compound evaluation.
Translational & Preclinical Research
- Aligns imaging outputs with disease-relevant tissue structures for translational biomarker studies.
- Supports continuity from discovery through preclinical validation by resolving molecular arrangements in situ.
- Reduces biological risk by clarifying structure-function relationships in complex samples.
Pipeline & Workflow Integration
This imaging platform integrates from early discovery through preclinical research, bridging hypothesis testing, target validation, and translational studies.
- Discovery Biology: Provides high-content, label-free chemical imaging for hypothesis testing and pathway clarification.
- Screening: Delivers reproducible, quantitative outputs for assay readiness and compound triage.
- Analytics: Generates hyperspectral datasets enabling robust comparison of sample conditions and morphologies.
- Translational Research: Connects molecular imaging to disease-relevant tissue analysis, supporting biomarker alignment.
- Enterprise Reuse: Offers a scalable, multimodal imaging capability adaptable across diverse biological and material systems.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence and reduces mechanistic ambiguity in target validation.
- Operational Value: Accelerates data acquisition and standardizes imaging workflows for heterogeneous samples.
- Strategic Value: Informs go/no-go decisions and enhances capital efficiency by providing molecular-level insights early in the pipeline.
- Portfolio Impact: Supports risk-adjusted prioritization and advancement of discovery and preclinical programs.
Implementation Considerations
- Requires expertise in nonlinear optical imaging and hyperspectral data analysis.
- Demands advanced instrumentation, including high numerical aperture objectives and line-scanning technology.
- Necessitates cross-team standardization for data acquisition and interpretation.
- Adaptable to a range of biological and material model systems with appropriate optimization.
- Data management and analysis infrastructure must address the challenges of large hyperspectral datasets.
