title: Rapid super-resolution line-scanning microscopy through virtually structured detection.
abstract: Virtually structured detection (VSD) has been demonstrated to break the diffraction limit in scanning laser microscopy (SLM). VSD provides an easy, low-cost, and phase-artifact-free strategy to achieve super-resolution imaging. However, practical application of this method is challenging due to a limited image acquisition speed. We report here the combination of VSD and line-scanning microscopy (LSM) to improve the image acquisition speed. A motorized dove prism was used to achieve automatic control of four-angle (i.e., 0°, 45°, 90°, and 135°) scanning, thus ensuring isotropic resolution improvement. Both an optical resolution target and a living frog eyecup were used to verify resolution enhancement.
authors: Yanan
authors: Y
authors: Zhi
authors: Rongwen
authors: R
authors: Lu
authors: Benquan
authors: B
authors: Wang
authors: Qiuxiang
authors: Q
authors: Zhang
authors: Xincheng
authors: X
authors: Yao
mesh_terms: D000818:Animals; D001001:Anura; D007091:Image Processing, Computer-Assisted; D018613:Microscopy, Confocal / Q000379:methods*; D012160:Retina / Q000166:cytology; D059629:Signal-To-Noise Ratio; D013997:Time Factors