Journal papers
Ruiming Cao; Michael Kellman; David Ren; Regina Eckert; Laura Waller
Self-calibrated 3D differential phase contrast microscopy with optimized illumination Journal Article
In: Biomed. Opt. Express, vol. 13, no. 3, pp. 1671–1684, 2022.
Abstract | Links | BibTeX | Tags: Discrete Fourier transforms; Illumination design; Inverse problems; LED lighting; Phase contrast; Three dimensional imaging
@article{Cao:22,
title = {Self-calibrated 3D differential phase contrast microscopy with optimized illumination},
author = {Ruiming Cao and Michael Kellman and David Ren and Regina Eckert and Laura Waller},
url = {http://opg.optica.org/boe/abstract.cfm?URI=boe-13-3-1671},
doi = {10.1364/BOE.450838},
year = {2022},
date = {2022-03-01},
urldate = {2022-03-01},
journal = {Biomed. Opt. Express},
volume = {13},
number = {3},
pages = {1671--1684},
publisher = {OSA},
abstract = {3D phase imaging recovers an object’s volumetric refractive index from intensity and/or holographic measurements. Partially coherent methods, such as illumination-based differential phase contrast (DPC), are particularly simple to implement in a commercial brightfield microscope. 3D DPC acquires images at multiple focus positions and with different illumination source patterns in order to reconstruct 3D refractive index. Here, we present a practical extension of the 3D DPC method that does not require a precise motion stage for scanning the focus and uses optimized illumination patterns for improved performance. The user scans the focus by hand, using the microscope’s focus knob, and the algorithm self-calibrates the axial position to solve for the 3D refractive index of the sample through a computational inverse problem. We further show that the illumination patterns can be optimized by an end-to-end learning procedure. Combining these two, we demonstrate improved 3D DPC with a commercial microscope whose only hardware modification is LED array illumination.},
keywords = {Discrete Fourier transforms; Illumination design; Inverse problems; LED lighting; Phase contrast; Three dimensional imaging},
pubstate = {published},
tppubtype = {article}
}
3D phase imaging recovers an object’s volumetric refractive index from intensity and/or holographic measurements. Partially coherent methods, such as illumination-based differential phase contrast (DPC), are particularly simple to implement in a commercial brightfield microscope. 3D DPC acquires images at multiple focus positions and with different illumination source patterns in order to reconstruct 3D refractive index. Here, we present a practical extension of the 3D DPC method that does not require a precise motion stage for scanning the focus and uses optimized illumination patterns for improved performance. The user scans the focus by hand, using the microscope’s focus knob, and the algorithm self-calibrates the axial position to solve for the 3D refractive index of the sample through a computational inverse problem. We further show that the illumination patterns can be optimized by an end-to-end learning procedure. Combining these two, we demonstrate improved 3D DPC with a commercial microscope whose only hardware modification is LED array illumination.