.png){kind=icon}
返回
Multifunctional computational fluorescence self-interference holographic microscopy
.png){kind=icon}
PRE
AI
DOI：10.1364/PRJ.533485.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Fluorescence microscopy is crucial in various fields such as biology, medicine, and life sciences. Fluorescence self- interference holographic microscopy has great potential in bio-imaging owing to its unique wavefront coding characteristics; thus, it can be employed as three-dimensional (3D) scanning-free super-resolution microscopy. However, the available approaches are limited to low optical efficiency, complex optical setups, and single imaging functions. The geometric phase lens can efficiently manipulate the optical field's amplitude, phase, and polarization. Inspired by geometric phase and self-interference holography, a self-interference fluorescent holographic microscope-based geometric phase lens is proposed. This system allows for wide-field, 3D fluorescence holographic imaging, and edge-enhancement from the reconstruction of only one complex-valued hologram. Experiments demonstrate the effectiveness of our method in imaging biological samples, with improved resolution and signal-to-noise ratio. Furthermore, its simplicity and convenience make it easily compatible with existing optical microscope setups, making it a powerful tool for observing biological samples and detecting industrial defects. (c) 2024 Chinese Laser Press
Keyword:
DIGITAL HOLOGRAPHY
EDGE ENHANCEMENT
FINCH MICROSCOPY
INCOHERENT
期刊
IF:
7.2
论文数:
2.4K
被引数:
1.3W
机构
引用论文
Selective edge enhancement in three-dimensional vortex imaging with incoherent light.png)
OPTICS LETTERS
OPTICS LETTERSIF3.3
PREAI
分享收藏Non-scanning motionless fluorescence three-dimensional holographic microscopyNATURE PHOTONICS
NATURE PHOTONICSIF32.9
PREAI
分享收藏
Modified Lagrange invariants and their role in determining transverse and axial imaging resolutions of self-interference incoherent holographic systemsOPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
OAAI分享收藏Virtual-scanning light-field microscopy for robust snapshot high-resolution volumetric imagingNATURE METHODSOAAI
NATURE METHODSIF32.1
OAAI分享收藏分享收藏
查看更多内容