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February 19, 20260 citationsOpen Access

Imperfect refractive index matching in scanning laser optical tomography and a method for digital correction

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OHOle HillMWMerve WollweberTBTobias Biermann

Key Points

  • The study aims to develop a method for correcting distortions in scanning laser optical tomography caused by refractive index mismatches.
  • Simulations of SLOT measurements with varying refractive index mismatches were performed.
  • A post-processing strategy for correcting distorted measurements was developed.
  • Fluorescent polystyrene beads and silicon-based samples were used to validate the correction method.
  • Measurements with RI mismatches greater than 0.02 showed significantly worse results without correction.
  • An RI mismatch greater than 0.05 made it challenging to resolve fine details.
  • With the correction method, measurements with an RI mismatch up to 0.1 yielded reasonable results.

Abstract

Significance: Scanning laser optical tomography (SLOT) is a volumetric multimodal imaging technique that is comparable to optical projection tomography and computer tomography. Image quality is crucially dependent on matching the refractive indexes (RIs) of the sample and surrounding medium, but RI matching often requires some effort and is never perfect. Aim: Reducing the burden of RI matching between the immersion medium and sample in biomedical imaging is a challenging and interesting task. We aim at implementing a post processing strategy for correcting SLOT measurements that have errors caused by RI mismatch. Approach: To better understand the problems with poorly matched Ris, simulated SLOT measurements with imperfect RI matching of the sample and medium are performed and presented here. A method to correct distorted measurements was developed and is presented and evaluated. This method is then applied to a sample containing fluorescent polystyrene beads and a sample made of olydimethylsiloxane with embedded fluorescent nanoparticles. Results: From the simulations, it is evident that measurements with an RI mismatch larger than 0.02 and no correction yield considerably worse results compared to perfectly matched measurements. RI mismatches larger than 0.05 make it almost impossible to resolve finer details and structures. By contrast, the simulations imply that a measurement with an RI mismatch of up to 0.1 can still yield reasonable results if the presented correction method is applied. The experiments validate the simulated results for an RI mismatch of about 0.09. Conclusions: The method significantly improves the SLOT image quality for samples with imperfectly matched Ris. Although the absolutely best imaging quality will be achieved with perfect RI matching, these results pave the way for imaging in SLOT with RI mismatches while maintaining high image quality.

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Cite This Study

Hill et al. (2026) studied this question.

synapsesocial.com/papers/6996a879ecb39a600b3ef3c9https://doi.org/10.15488/20649
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