Related Experiment Video
Updated: Jan 14, 2026

07:13
Biomolecular Imaging of Cellular Uptake of Nanoparticles using Multimodal Nonlinear Optical Microscopy
Published on: May 16, 2022
2.3K
Development of Multimodal Microscopic Imaging System Capable of Hyperspectral and Multi-Wavelength Time-Lapse Imaging
Siddharth Pal1,2, Hemant Krishna2, Srinibas Satapathy1,2
1Homi Bhabha National Institute, BARC Training School Complex, Mumbai, India.
Journal of Biophotonics
|October 19, 2025
Summary
This study introduces a multimodal microscopic spectral imaging (MmSI) system for advanced biological analysis. The system offers accurate spectral and temporal-spectral imaging, aiding the study of dynamic biological processes.
Area of Science:
- Biomedical Imaging
- Microscopy
- Spectroscopy
Background:
- Conventional microscopy lacks spectral information, limiting detailed biological specimen characterization.
- Spectral imaging enhances microscopy by integrating spatial and spectral data for deeper analysis.
Purpose of the Study:
- To present a novel multimodal microscopic spectral imaging (MmSI) system.
- To enable comprehensive microscopic analysis through integrated spectral and temporal-spectral scanning.
Main Methods:
- Utilized a liquid crystal tunable filter (LCTF) for flexible spectral selection and high spatial resolution.
- Integrated transmission hyperspectral imaging (THSI) and fluorescence hyperspectral imaging (FHSI).
- Developed a custom graphical user interface for synchronizing LCTF and CCD camera for efficient data acquisition.
Main Results:
- Achieved quantitative accuracy through system calibration in spatial, spectral, and temporal domains.
- Demonstrated system linearity with respect to exposure time and emission intensity.
- Validated system effectiveness and reliability on model systems.
Conclusions:
- The MmSI system provides versatile and reliable microscopic spectral and temporal-spectral imaging.
- The system is well-suited for advanced biomedical research, especially for studying dynamic biological processes.

