Polarization-Reliability-Adaptive Soft-Constrained Reconstruction of Relative 3D Morphology Under Ring Illumination

Transparent cells often exhibit weak and spatially heterogeneous directional-intensity responses in non-interferometric microscopy, making morphology reconstruction vulnerable to low signal, incomplete angular information, and boundary artifacts. We present a polarization-reliability-adaptive soft-constrained ring-illumination method (PRAS-RIM) for reconstructing the apparent relative 3D morphology of transparent samples. The principal acquisition configuration comprises a programmable 12-sector ring source (P12), a PET diffuser, a fixed circular polarizer, a 40× objective with NA = 0.65, and a division-of-focal-plane polarization camera. Calibrated directional intensity provides the primary geometric evidence, whereas the angle of polarization (AoP) is represented in double-angle form and incorporated only as a pixelwise reliability-weighted soft constraint. Across 29 microsphere measurements, complete PRAS-RIM reduced the mean object-level RMSE from 2.77 ± 0.19 μm for the intensity-only baseline to 0.59 ± 0.07 μm. A yeast test set comprising 51 cells from three distinct static fields acquired within the same experiment demonstrated cross-field consistency and spatially varying reliability, but was not used for absolute-height validation because no independent geometric ground truth was available. These results support PRAS-RIM as an interpretable framework for robust label-free reconstruction of relative morphology without claiming optical phase, optical path length, absolute cell height, or a three-dimensional refractive-index distribution.

Authors

Institutions

Publication Details

Journal
Photonics
Published
2026-09-28
DOI
https://doi.org/10.3390/photonics13100917
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Polarization-Reliability-Adaptive Soft-Constrained Reconstruction of Relative 3D Morphology Under Ring Illumination

Zhenrui Hu, Juan Zhang, Hesong Jiang
Photonics
Digital Holography and Microscopy
article

Polarization-Reliability-Adaptive Soft-Constrained Reconstruction of Relative 3D Morphology Under Ring Illumination

Zhenrui Hu, Juan Zhang, Hesong Jiang
article en

Abstract

Transparent cells often exhibit weak and spatially heterogeneous directional-intensity responses in non-interferometric microscopy, making morphology reconstruction vulnerable to low signal, incomplete angular information, and boundary artifacts. We present a polarization-reliability-adaptive soft-constrained ring-illumination method (PRAS-RIM) for reconstructing the apparent relative 3D morphology of transparent samples. The principal acquisition configuration comprises a programmable 12-sector ring source (P12), a PET diffuser, a fixed circular polarizer, a 40× objective with NA = 0.65, and a division-of-focal-plane polarization camera. Calibrated directional intensity provides the primary geometric evidence, whereas the angle of polarization (AoP) is represented in double-angle form and incorporated only as a pixelwise reliability-weighted soft constraint. Across 29 microsphere measurements, complete PRAS-RIM reduced the mean object-level RMSE from 2.77 ± 0.19 μm for the intensity-only baseline to 0.59 ± 0.07 μm. A yeast test set comprising 51 cells from three distinct static fields acquired within the same experiment demonstrated cross-field consistency and spatially varying reliability, but was not used for absolute-height validation because no independent geometric ground truth was available. These results support PRAS-RIM as an interpretable framework for robust label-free reconstruction of relative morphology without claiming optical phase, optical path length, absolute cell height, or a three-dimensional refractive-index distribution.

PhotonicsVol. 13(10)
Southwest University of Science and Technology (CN)
Openalex Percentile: Top 14%
Digital Holography and Microscopy
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.

Polarization-Reliability-Adaptive Soft-Constrained Reconstruction of Relative 3D Morphology Under Ring Illumination — Zhenrui Hu, Juan Zhang, et al. · Photonics (2026) | TGRS Research Map | TGRS