Enhanced surface plasmon microscopy based on multi-channel spatial light switching for label-free neuronal imaging

Taehwang Son, Changhun Lee, Gwiyeong Moon, Dongsu Lee, Eunji Cheong, Donghyun Kim

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


In this paper, we have investigated multi-channel switching of light incidence in multiple directions to improve image clarity in surface plasmon microscopy (SPM) for robust and consistent imaging performance regardless of the pattern geometry and shape. Multi-channel light switching in SPM allows significant reduction of adverse scattering effects by surface plasmon (SP). For proof of concept, an eight-channel spatially switched SPM (ssSPM) system has been set up. The results with reference objects including square arrays and Siemens stars experimentally confirm much improved images with ssSPM by reducing the artifacts of SP scattering significantly. On a quantitative basis, contrast analysis preformed with square arrays shows image contrast enhanced by more than three times over conventional SPM. Three image reconstruction algorithms were evaluated for optimal image acquisition. It is suggested that averaging combined with minimum-filtering produces the highest resolution. ssSPM was applied to label-free imaging of primary neuron cultures and shown to present enhanced images with clarity far better than conventional SPM.

Original languageEnglish
Article number111738
JournalBiosensors and Bioelectronics
Publication statusPublished - 2019 Dec 15

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation grants funded by the Korean Government ( 2019K2A9A2A08000198 and 2019R1F1A1063602 ). Appendix A

Publisher Copyright:
© 2019 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry


Dive into the research topics of 'Enhanced surface plasmon microscopy based on multi-channel spatial light switching for label-free neuronal imaging'. Together they form a unique fingerprint.

Cite this