High-fidelity optical diffraction tomography of multiple scattering samples

查看全文 作　　者：Joowon [1]Lim;Ahmed [1]B.Ayoub;Elizabeth [1]E.Antoine;Demetri [1]Psaltis

机构地区：[1]Ecole Polytechnique Federale de Lausanne,Optics Laboratory,CH-1015 Lausanne,Switzerland

出　　处：《Light(Science & Applications)》索引2019年第8卷第1期,共12页

摘　　要：We propose an iterative reconstruction scheme for optical diffraction tomography that exploits the split-step nonparaxial(SSNP)method as the forward model in a learning tomography scheme.Compared with the beam propagation method(BPM)previously used in learning tomography(LT-BPM),the improved accuracy of SSNP maximizes the information retrieved from measurements,relying less on prior assumptions about the sample.A rigorous evaluation of learning tomography based on SSNP(LT-SSNP)using both synthetic and experimental measurements confirms its superior performance compared with that of the LT-BPM.Benefiting from the accuracy of SSNP,LT-SSNP can clearly resolve structures that are highly distorted in the LT-BPM.A serious limitation for quantifying the reconstruction accuracy for biological samples is that the ground truth is unknown.To overcome this limitation,we describe a novel method that allows us to compare the performances of different reconstruction schemes by using the discrete dipole approximation to generate synthetic measurements.Finally,we explore the capacity of learning approaches to enable data compression by reducing the number of scanning angles,which is of particular interest in minimizing the measurement time. 关键词：SCATTERING OPTICAL DIFFRACTION

相关文献

参考文献（38）
引证文献（10）
耦合文献（0）

参考文献(38)

引证文献(10)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

High-fidelity optical diffraction tomography of multiple scattering samples

参考文献(38)

引证文献(10)

用户提示