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1. The CHARA Array Polarization Model and Prospects for Spectropolarimetry

   https://doi.org/10.3847/1538-3881/ae0648  

   Shuai, Linling; Monnier, John D; Setterholm, Benjamin R; Kraus, Stefan; Anugu, Narsireddy; Gardner, Tyler; Le_Bouquin, Jean-Baptiste; Schaefer, Gail H (November 2025, The Astronomical Journal)

   Abstract Polarimetric data provide key insights into infrared emission mechanisms in the inner disks of young stellar objects (YSOs) and the details of dust formation around asymptotic giant branch (AGB) stars. While polarization measurements are well-established in radio interferometry, they remain challenging at visible and near-infrared wavelengths, due to the significant time-variable birefringence introduced by the complex optical beam train. In this study, we characterize instrumental polarization effects within the optical path of the Center for High Angular Resolution Astronomy (CHARA) Array, focusing on theH-band MIRC-X andK-band MYSTIC beam combiners. Using the Jones matrix formalism, we developed a comprehensive model describing diattenuation and retardance across the array. By applying this model to an unpolarized calibrator, we derived the instrumental parameters for both MIRC-X and MYSTIC. Our results show differential diattenuation consistent with ≥97% reflectivity per aluminum-coated surface at 45° incidence. The differential retardance exhibits small wavelength-dependent variations, in some cases larger than we expected. Notably, telescope W2 exhibits a significantly larger phase shift in the Coudé path, attributable to a fixed aluminum mirror (M4) used in place of deformable mirrors present on the other telescopes during the observing run. We also identify misalignments in the LiNbO₃birefringent compensator plates on S1 (MIRC-X) and W2 (MYSTIC). After correcting for night-to-night offsets, we achieve calibration accuracies of ±3.4% in visibility ratio and $\pm 1\stackrel{°}{.}4$in differential phase for MIRC-X, and ±5.9% and $\pm 2\stackrel{°}{.}4$, respectively, for MYSTIC. Given that the differential intrinsic polarization of spatially resolved sources, such as AGB stars and YSOs, typically greater than these instrumental uncertainties, our results demonstrate that CHARA is now capable of achieving high-accuracy measurements of intrinsic polarization in astrophysical targets. 

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2. Synthetic spatial aperture holographic third harmonic generation microscopy

   https://doi.org/10.1364/OPTICA.521088  

   Farah, Yusef; Murray, Gabe; Field, Jeff; Varughese, Maxine; Wang, Lang; Pinaud, Olivier; Bartels, Randy (January 2024, Optica)

   Third harmonic generation (THG) provides a valuable, label-free approach to imaging biological systems. To date, THG microscopy has been performed using point-scanning methods that rely on intensity measurements lacking phase information of the complex field. We report the first demonstration, to the best of our knowledge, of THG holographic microscopy and the reconstruction of the complex THG signal field with spatial synthetic aperture imaging. Phase distortions arising from measurement-to-measurement fluctuations and imaging components cause optical aberrations in the reconstructed THG field. We have developed an aberration-correction algorithm that estimates and corrects these phase distortions to reconstruct the spatial synthetic aperture THG field without optical aberrations. 

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3. Hybrid spatial–temporal Mueller matrix imaging spectropolarimeter for high throughput plant phenotyping

   https://doi.org/10.1364/AO.483870  

   Kudenov, Michael W.; Krafft, Danny; Scarboro, Clifton G.; Doherty, Colleen J.; Balint-Kurti, Peter (January 2023, Applied Optics)

   Many correlations exist between spectral reflectance or transmission with various phenotypic responses from plants. Of interest to us are metabolic characteristics, namely, how the various polarimetric components of plants may correlate to underlying environmental, metabolic, and genotypic differences among different varieties within a given species, as conducted during large field experimental trials. In this paper, we overview a portable Mueller matrix imaging spectropolarimeter, optimized for field use, by combining a temporal and spatial modulation scheme. Key aspects of the design include minimizing the measurement time while maximizing the signal-to-noise ratio by mitigating systematic error. This was achieved while maintaining an imaging capability across multiple measurement wavelengths, spanning the blue to near-infrared spectral region (405–730 nm). To this end, we present our optimization procedure, simulations, and calibration methods. Validation results, which were taken in redundant and non-redundant measurement configurations, indicated that the polarimeter provides average absolute errors of (5.3±2.2)×10⁻³and (7.1±3.1)×10⁻³, respectively. Finally, we provide preliminary field data (depolarization, retardance, and diattenuation) to establish baselines of barren and non-barrenZea maizehybrids (G90 variety), as captured from various leaf and canopy positions during our summer 2022 field experiments. Results indicate that subtle variations in retardance and diattenuation versus leaf canopy position may be present before they are clearly visible in the spectral transmission. 

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4. Emittance minimization for aberration correction II: Physics-informed Bayesian optimization of an electron microscope

   https://doi.org/10.1016/j.ultramic.2025.114138  

   Ma, Desheng; Zeltmann, Steven E; Zhang, Chenyu; Baraissov, Zhaslan; Shao, Yu-Tsun; Duncan, Cameron; Maxson, Jared; Edelen, Auralee; Muller, David A (July 2025, Ultramicroscopy)

   Aberration-corrected Scanning Transmission Electron Microscopy (STEM) has become an essential tool in understanding materials at the atomic scale. However, tuning the aberration corrector to produce a sub-Ångström probe is a complex and time-costly procedure, largely due to the difficulty of precisely measuring the optical state of the system. When measurements are both costly and noisy, Bayesian methods provide rapid and efficient optimization. To this end, we develop a Bayesian approach to fully automate the process by minimizing a new quality metric, beam emittance, which is shown to be equivalent to performing aberration correction. In part I, we derived several important properties of the beam emittance metric and trained a deep neural network to predict beam emittance growth from a single Ronchigram. Here we use this as the black box function for Bayesian optimization and demonstrate automated tuning of simulated and real electron microscopes. We explore different surrogate functions for the Bayesian optimizer and implement a deep neural network kernel to effectively learn the interactions between different control channels without the need to explicitly measure a full set of aberration coefficients. Both simulation and experimental results show the proposed method outperforms conventional approaches by achieving a better optical state with a higher convergence rate. 

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5. Computational imaging with meta-optics

   https://doi.org/10.1364/OPTICA.546382  

   Fröch, Johannes E; Colburn, Shane; Brady, David J; Heide, Felix; Veeraraghavan, Ashok; Majumdar, Arka (January 2025, Optica)

   Sub-wavelength diffractive meta-optics have emerged as a versatile platform to manipulate light fields at will, due to their ultra-small form factor and flexible multifunctionalities. However, miniaturization and multimodality are typically compromised by a reduction in imaging performance; thus, meta-optics often yield lower resolution and stronger aberration compared to traditional refractive optics. Concurrently, computational approaches have become popular to improve the image quality of traditional cameras and exceed limitations posed by refractive lenses. This in turn often comes at the expense of higher power and latency, and such systems are typically limited by the availability of certain refractive optics. Limitations in both fields have thus sparked cross-disciplinary efforts to not only overcome these roadblocks but also to go beyond and provide synergistic meta-optical–digital solutions that surpass the potential of the individual components. For instance, an application-specific meta-optical frontend can preprocess the light field of a scene and focus it onto the sensor with a desired encoding, which can either ease the computational load on the digital backend or can intentionally alleviate certain meta-optical aberrations. In this review, we introduce the fundamentals, summarize the development of meta-optical computational imaging, focus on latest advancements that redefine the current state of the art, and give a perspective on research directions that leverage the full potential of sub-wavelength photonic platforms in imaging and sensing applications. The current advancement of meta-optics and recent investments by foundries and technology partners have the potential to provide synergistic future solutions for highly efficient, compact, and low-power imaging systems. 

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