Key Laboratory of Intelligent Computing & Signal Processing, Anhui University, Hefei, Anhui, China.
Center for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei, Anhui, China.
J Biophotonics. 2024 Aug;17(8):e202400137. doi: 10.1002/jbio.202400137. Epub 2024 Jun 18.
Label-free biological cell imaging relies on rapid multimode phase imaging of biological samples in natural settings. To improve image contrast, phase is encoded into intensity information using the differential interference contrast (DIC) and Zernike phase contrast (ZPC) techniques. To enable multimode contrast-enhanced observation of unstained specimens, this paper proposes an improved multimode phase imaging method based on the transport of intensity equation (TIE), which combines conventional microscopy with computational imaging. The ZPC imaging module based on adaptive aperture adjustment is applied when the quantitative phase results of biological samples have been obtained by solving the TIE. Simultaneously, a rotationally symmetric shear-based technique is used that can yield isotropic DIC. In this paper, we describe numerical simulation and optical experiments carried out to validate the accuracy and viability of this technology. The calculated Michelson contrast of the ZPC image in the resolution plate experiment increased from 0.196 to 0.394.
无标记生物细胞成像是依赖于在自然环境下对生物样本进行快速多模相位成像。为了提高图像对比度,使用微分干涉对比(DIC)和泽尼克相位对比(ZPC)技术将相位编码为强度信息。为了实现未染色标本的多模对比度增强观察,本文提出了一种基于强度传输方程(TIE)的改进的多模相位成像方法,该方法将传统显微镜与计算成像相结合。当通过求解 TIE 获得生物样本的定量相位结果时,应用基于自适应孔径调整的 ZPC 成像模块。同时,使用旋转对称的基于剪切的技术,可获得各向同性的 DIC。本文描述了数值模拟和光学实验,以验证该技术的准确性和可行性。在分辨率板实验中,ZPC 图像的计算米歇尔逊对比度从 0.196 增加到 0.394。