Three-dimensional imaging of biological cells using surface plasmon coupled emission

TL;DR

This paper introduces a low-cost, surface plasmon coupled emission (SPCE) based method for accurate three-dimensional imaging of biological cells, avoiding complex equipment and extensive data processing.

Contribution

It presents a novel 3D cell imaging technique using SPCE patterns that reconstructs cell structures with high accuracy, suitable for simple and cost-effective applications.

Findings

Reconstructed 3D images closely match actual cell geometries.

Root-mean-square error (RMSE) remains within a few percent for various cell shapes.

The method is promising despite being in early development stages.

Abstract

Biological cell imaging has become one of the most crucial research interests due to its wide-ranging applications in biomedical and microbiology studies. However, three-dimensional (3D) imaging of biological cells remains critically challenging and often requires prohibitively expensive and complex equipment. Therefore, a low-cost imaging technique with a simpler optical arrangement is highly desirable. We propose an approach to obtain accurate 3D cell images using surface plasmon coupled emission (SPCE) patterns from a fluorescently labeled biological cell, eliminating the need for conventional microscopes or extensive data processing. An imaging methodology has been developed and theoretically demonstrated to reconstruct 3D cell structures from detected SPCE patterns. The reconstructed 3D images closely match the actual cell geometries. The technique has been applied to both regular and irregular cell shapes. In each case, the root-mean-square error (RMSE) between the reconstructed images and the actual structures remains within a few percent. For a circular-shaped cell base, the RMSE is $\lesssim 1.4\%$, while for irregular cell bases, the RMSE is $\lesssim 2.8\%$. Finally, a 3D image of a random cellular structure is obtained with an RMSE of $\lesssim 6.5\%$. Despite being in its initial stages of development, the proposed technique demonstrates promising results considering its simplicity and low cost.