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We investigate the use of polarized illumination in multiview microscopes for determining the orientation of single-molecule fluorescence transition dipoles. First, we relate the orientation of single dipoles to measurable intensities in multiview microscopes and develop an information-theoretic metric-the solid-angle uncertainty-to compare the ability of multiview microscopes to estimate the orientation of single dipoles. Next, we compare a broad class of microscopes using this metric-single- and dual-view microscopes with varying illumination polarization, illumination numerical aperture (NA), detection NA, obliquity, asymmetry, and exposure. We find that multi-view microscopes can measure all dipole orientations, while the orientations measurable with single-view microscopes is halved because of symmetries in the detection process. We also find that choosing a small illumination NA and a large detection NA are good design choices, that multiview microscopes can benefit from oblique illumination and detection, and that asymmetric NA microscopes can benefit from exposure asymmetry.
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http://dx.doi.org/10.1364/OE.25.031309 | DOI Listing |
J Mammary Gland Biol Neoplasia
September 2025
Institute of Molecular Genetics of the Czech Academy of Sciences, Videnska 1083, Prague, 142 20, Czech Republic.
The mammary gland is a dynamic organ whose parenchyma undergoes major development during puberty and extensive remodeling with each estrous cycle. These processes can be modelled and investigated in vitro via 3D cell culture techniques that employ specialized extracellular matrices and appropriate growth factors. The resulting mammary organoid cultures faithfully represent the mammary gland with respect to cellular heterogeneity, cell-cell contacts, overall architecture as well as response to growth factor stimuli and are amendable to a variety of molecular methods as well as microscopy techniques.
View Article and Find Full Text PDFMicroscopic fringe projection profilometry (MFPP) has become an essential technique for precisely inspecting intricate microscale industrial parts, where Scheimpflug multi-view imaging is commonly used to extend the depth of field (DOF). However, lens distortion significantly reduces measurement accuracy, creating a major challenge for seamlessly fusing data from different views. In this Letter, we introduce a non-iterative distortion correction method for Scheimpflug multi-view MFPP that directly remaps camera and projector pixels using pre-calibrated parameters.
View Article and Find Full Text PDFAdv Photonics Nexus
June 2025
Duke University, Biomedical Engineering, Durham, 27708, NC, USA.
This work presents the Fourier Lightfield Multi-view Stereoscope (FiLM-Scope), a novel imaging device that combines concepts from Fourier Light Field Microscopy and Multi-view Stereo imaging to capture high-resolution 3D videos over large fields-of-view. The FiLM-Scope optical hardware consists of a multi-camera array, with 48 individual micro-cameras, placed behind a high-throughput primary lens. This allows the FiLM-Scope to simultaneously capture 48 unique 12.
View Article and Find Full Text PDFAdv Sci (Weinh)
July 2025
Department of Bioengineering, UCLA, Los Angeles, CA, 90095, USA.
Light-sheet fluorescence microscopy (LSFM) enables rapid data acquisition with minimal phototoxicity, while optical clearing reduces light scattering by matching sample and imaging medium refractive indices (RIs). Emerging clearing methods extend from cells and organoids to entire organs and organisms, prompting macro-view LSFM microscopes with macro-objectives for low-magnification imaging of larger specimens at adequate resolution. In cardiovascular studies, multiple organs often require imaging, yet clearing protocols optimized for different organs alter the sample RIs inconsistently.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
June 2025
Harvard Medical School, Brigham and Women's Hospital, Boston, USA.
Purpose: Neural radiance fields (NeRF) offer exceptional capabilities for 3D reconstruction and view synthesis, yet their reliance on extensive multi-view data limits their application in surgical intraoperative settings where only limited data are available. This work addresses this challenge by leveraging a single intraoperative image and preoperative data to train NeRF efficiently for surgical scenarios.
Methods: We leverage preoperative MRI data to define the set of camera viewpoints and images needed for robust and unobstructed training.