Label free spectral encoding of spatial frequency (SESF) approach for 2D and 3D nano-sensitive imaging

Sergey A. Alexandrov; Anand Arangath; Rajib Dey; Ryan McAuley; Martin Leahy

doi:10.1117/12.3001741

13 March 2024 Label free spectral encoding of spatial frequency (SESF) approach for 2D and 3D nano-sensitive imaging

Sergey A. Alexandrov, Anand Arangath, Rajib Dey, Ryan McAuley, Martin Leahy

Proceedings Volume PC12841, Dynamics and Fluctuations in Biomedical Photonics XXI; PC1284107 (2024) https://doi.org/10.1117/12.3001741
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Visualization of nanoscale structural changes in biological samples for early detection of different pathologies poses a significant challenge to both researchers and healthcare professionals. The spectral encoding of spatial frequency (SESF) approach permits label free visualization of the sub-wavelength structure in 2D imaging with super-resolution. We present an adaptation of the SESF approach for depth resolved visualization of the sub-wavelength structure with nano-sensitivity to structural alterations using optical coherence tomography (OCT). We will describe the principles of the SESF approach, adaptation to OCT, and demonstrate different applications which show advantages of these novel techniques in comparison with existing optical imaging.

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Sergey A. Alexandrov, Anand Arangath, Rajib Dey, Ryan McAuley, and Martin Leahy "Label free spectral encoding of spatial frequency (SESF) approach for 2D and 3D nano-sensitive imaging", Proc. SPIE PC12841, Dynamics and Fluctuations in Biomedical Photonics XXI, PC1284107 (13 March 2024); https://doi.org/10.1117/12.3001741

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KEYWORDS

Biological imaging

Optical coherence tomography

3D image processing

Stereoscopy

Visualization

Biomedical optics

Spatial frequencies

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