High‐Efficiency Label‐Free 3D Microscopy Using Kramers‐Kronig Relations‐Assisted Fourier Ptychographic Diffraction Tomography

Abstract A high‐efficiency 3D refractive index (RI) tomography method is presented, termed Kramers–Kronig relations‐assisted Fourier ptychographic diffraction tomography (KK‐FPDT). This approach integrates the spatial‐domain Kramers–Kronig (KK) relations with Fourier ptychographic diffraction tomography (FPDT), enabling high‐quality RI reconstruction from intensity images captured under both matched and non‐matched illuminations. By leveraging KK relations, the initial 3D scattering potential spectrum is generated deterministically, which significantly accelerates convergence in the subsequent iterative FPDT reconstruction process. KK‐FPDT overcomes the limitations of conventional KK‐ODT methods, which are constrained by matched illumination conditions, thereby improving spectral coverage and reconstruction quality significantly. Experiments on microspheres, resolution targets, and biological samples (including 3T3 cells and Pandorina morum ) validated KK‐FPDT's capability for high‐resolution 3D RI imaging with 340 nm lateral resolution. KK‐FPDT offers a robust and versatile solution for label‐free quantitative analysis of cellular and tissue morphology, paving the way for broader biomedical applications.

Authors

Institutions

Publication Details

Journal
Laser & Photonics Review
Published
2025-07-05
DOI
https://doi.org/10.1002/lpor.202500705
Citations
2
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
2.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High‐Efficiency Label‐Free 3D Microscopy Using Kramers‐Kronig Relations‐Assisted Fourier Ptychographic Diffraction Tomography

Habib Ullah, Ran Ye, Shun Zhou, Chao Zuo et al.
2 citations
Laser & Photonics Review
Digital Holography and Microscopy
2.49
article

High‐Efficiency Label‐Free 3D Microscopy Using Kramers‐Kronig Relations‐Assisted Fourier Ptychographic Diffraction Tomography

Habib Ullah, Ran Ye, Shun Zhou, Chao Zuo, Linpeng Lu, Qian Chen, Zhidong Bai
article en
2 citations

Abstract

Abstract A high‐efficiency 3D refractive index (RI) tomography method is presented, termed Kramers–Kronig relations‐assisted Fourier ptychographic diffraction tomography (KK‐FPDT). This approach integrates the spatial‐domain Kramers–Kronig (KK) relations with Fourier ptychographic diffraction tomography (FPDT), enabling high‐quality RI reconstruction from intensity images captured under both matched and non‐matched illuminations. By leveraging KK relations, the initial 3D scattering potential spectrum is generated deterministically, which significantly accelerates convergence in the subsequent iterative FPDT reconstruction process. KK‐FPDT overcomes the limitations of conventional KK‐ODT methods, which are constrained by matched illumination conditions, thereby improving spectral coverage and reconstruction quality significantly. Experiments on microspheres, resolution targets, and biological samples (including 3T3 cells and Pandorina morum ) validated KK‐FPDT's capability for high‐resolution 3D RI imaging with 340 nm lateral resolution. KK‐FPDT offers a robust and versatile solution for label‐free quantitative analysis of cellular and tissue morphology, paving the way for broader biomedical applications.

Laser & Photonics ReviewVol. 19(23)
Nanjing Normal University (CN), Shanxi University (CN), Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 11%
Digital Holography and Microscopy
2.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.