SeNSE, Indian Institute of Technology Delhi, New Delhi, India.
Biophotonics and Green Photonics Lab, Department of Physics, Indian Institute of Technology Delhi, New Delhi, India.
J Biophotonics. 2024 Jun;17(6):e202300499. doi: 10.1002/jbio.202300499. Epub 2024 Apr 2.
An optimization algorithm is presented for the deconvolution of a complex field to improve the resolution and accuracy of quantitative phase imaging (QPI). A high-resolution phase map can be recovered by solving a constrained optimization problem of deconvolution using a complex gradient operator. The method is demonstrated on phase measurements of samples using a white light based phase shifting interferometry (WLPSI) method. The application of the algorithm on real and simulated objects shows a significant resolution and contrast improvement. Experiments performed on Escherichia coli bacterium have revealed its sub-cellular structures that were not visible in the raw WLPSI images obtained using a five phase shifting method. These features can give valuable insights into the structures and functioning of biological cells. The algorithm is simple in implementation and can be incorporated into other QPI modalities .
提出了一种用于复场反卷积的优化算法，以提高定量相位成像（QPI）的分辨率和准确性。通过使用复梯度算子求解反卷积的约束优化问题，可以恢复高分辨率相位图。该方法在基于白光相移干涉测量法（WLPSI）的样品相位测量中得到了验证。该算法在真实和模拟物体上的应用显示出了显著的分辨率和对比度的提高。对大肠杆菌的实验揭示了使用五相移方法获得的原始 WLPSI 图像中不可见的亚细胞结构。这些特征可以深入了解生物细胞的结构和功能。该算法实现简单，可以与其他 QPI 模式相结合。
