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Updated: Aug 26, 2025

Three-dimensional Imaging of Bacterial Cells for Accurate Cellular Representations and Precise Protein Localization
Published on: October 29, 2019
Three-dimensional imaging of biological cells using surface plasmon coupled emission
Anik Mazumder1,2, Mohammad Mozammal1, Muhammad Anisuzzaman Talukder1
1Bangladesh University of Engineering and Technology, Department of Electrical and Electronic Engineering, Dhaka, Bangladesh, Bangladesh.
A novel, low-cost method uses surface plasmon coupled emission (SPCE) patterns to create accurate 3D biological cell images without expensive equipment or complex processing, advancing biomedical research.
Area of Science:
- Biophysics
- Optical Imaging
- Cell Biology
Background:
- Three-dimensional (3D) biological cell imaging is crucial for biomedical and microbiology studies.
- Current 3D imaging techniques are often expensive, complex, and require extensive data processing.
- There is a significant need for low-cost, simplified imaging methods.
Purpose of the Study:
- To develop and demonstrate a low-cost imaging technique for accurate 3D biological cell imaging.
- To utilize surface plasmon coupled emission (SPCE) patterns for cell imaging.
- To provide an alternative to conventional, high-cost imaging modalities.
Main Methods:
- Developed an imaging methodology based on detecting surface plasmon coupled emission (SPCE) patterns from fluorescently labeled cells.
- Theoretically demonstrated the creation of 3D cell images from SPCE patterns.
- Applied the technique to various regular and irregular cell shapes.
Main Results:
- The developed technique successfully created 3D images of cells with high accuracy.
- Root-mean-square errors (RMSE) for cell base imaging were within a few percentages (≲1.4% for circular, ≲2.8% for irregular).
- A 3D image of a random cellular structure was obtained with an RMSE of ≲6.5%.
Conclusions:
- The proposed SPCE-based imaging technique offers a promising, low-cost solution for 3D biological cell imaging.
- The method simplifies optical arrangements and reduces data processing needs.
- Further development is expected to enhance its applicability in biomedical research.
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