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

• Main Authors: Yunhao Su, Ruirui Zhang, Hanxu Wu, Lirong Qiu, He Ni, Ke-Mi Xu, Weiqian Zhao
• Format: Article
• Language: English
• Published: Elsevier 2021-06-01
• Series: Data in Brief
• Subjects: Suppressing background noise; Tilting angles; Divided-aperture differential confocal Raman microscopy; Axial response curves; Goodness-of-fit (GOF)
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352340921004169

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.