Dataset on capability of suppressing background noise and anti-tilting of divided-aperture differential confocal Raman microscopy system

Yunhao Su; Ruirui Zhang; Hanxu Wu; Lirong Qiu; He Ni; Ke-Mi Xu; Weiqian Zhao

doi:10.1016/j.dib.2021.107132

Dataset on capability of suppressing background noise and anti-tilting of divided-aperture differential confocal Raman microscopy system

Data Brief. 2021 May 11:36:107132. doi: 10.1016/j.dib.2021.107132. eCollection 2021 Jun.

Authors

Yunhao Su¹, Ruirui Zhang¹, Hanxu Wu¹, Lirong Qiu¹, He Ni¹, Ke-Mi Xu¹, Weiqian Zhao^{1

2}

Affiliations

¹ Beijing Key Laboratory for Precision Optoelectronic Measurement Instrument and Technology, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
² Research Center for Intelligent Sensing, Zhijiang Lab, Hangzhou 311100,China.

Abstract

The dataset describes the mechanism of suppressing the background noise of the divided-aperture differential confocal Raman microscopy system and the range of tilting angles that the system can handle. On the basis of the confocal microscopy (CM), the divided-aperture confocal microscopy divided the pupil plane of the objective lens into the illumination pupil and collection pupil. Compared with the CM, the divided-aperture confocal microscopy only changes the pupil parameters, according to the partially coherent imaging theory, we simulate and analyze the axial response curves of the divided-aperture confocal system and the traditional confocal system. We also simulated the differential confocal response curve at different tilting angles and get the data for the applicability of the differential confocal response curve to see if there is a single zero-crossing point or a good linearity near the zero-crossing point. The goodness-of-fit (GOF) is used to evaluate the accuracy of linear fitting, and can be used as a simple measure method of linearity. And the closer the GOF value is to 1, the higher fitting accuracy is. Through simulation analysis, we can have a better understanding of the advances of divided-aperture differential confocal Raman microscopy.

Keywords: Axial response curves; Divided-aperture differential confocal Raman microscopy; Goodness-of-fit (GOF); Suppressing background noise; Tilting angles.