A Robust COTS Objective for Diffraction-Limited, High-NA, Long Front Working Distance Imaging
- URL: http://arxiv.org/abs/2507.15786v1
- Date: Mon, 21 Jul 2025 16:40:52 GMT
- Title: A Robust COTS Objective for Diffraction-Limited, High-NA, Long Front Working Distance Imaging
- Abstract summary: We present a robust objective lens optimized for applications requiring both high numerical aperture (NA) and long front working distance imaging.<n>Unlike traditional designs that require separate collimation and refocusing stages, our approach directly converges imaged light to the back focal plane using a single lens group.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We present a robust objective lens optimized for applications requiring both high numerical aperture (NA) and long front working distance imaging comprised of all commercial-off-the-shelf (COTS) singlet lenses. Unlike traditional designs that require separate collimation and refocusing stages, our approach directly converges imaged light to the back focal plane using a single lens group. Our configuration corrects spherical aberrations and efficiently collects light to achieve diffraction-limited performance across a wide range of wavelengths while simplifying alignment and assembly. Using this approach, we design and construct an example objective lens that features a long front working distance of 61 mm and a clipped NA of 0.30 (limited by an aperture in our experimental setup). We experimentally verify that it achieves monochromatic diffraction-limited resolution at wavelengths from 375 nm to 866 nm without requiring replacement of the lenses or changing the inter-lens spacings, and its performance remains robust across a 46 mm range variation in total length (by adjusting mainly the back working distances). Additionally, we develop a quantitative method to measure the field of view (FOV) using an experimentally-calibrated pinhole target. Under 397 nm illumination (i.e. from $^{40}$Ca$^+$ ion fluorescence), the objective achieves a resolution of 0.87 $\mu$m with a 540 $\mu$m FOV. This robust, all-COTS, and versatile design is well-suited for a broad range of experiments, supporting high-precision measurements and exploring quantum phenomena.
Related papers
- Aperture-aware Dispersion 5-D Light-field Imaging Spectrometer [21.894562640934748]
Existing single-detector systems are limited by a trade-off between the resolutions of different dimensions owing to insufficient coding capabilities.<n>Here we introduce an Aperture-aware Dispersion Light-field Imaging Spectrometer (ADLIS), that targets a synergy between compactness and resolution through aperture-multiplexed modulation.<n>In contrast to the viewpoint-separation approach of microlens arrays, ADLIS employs aperture encoding to superimpose all viewpoints onto each sensor pixel.
arXiv Detail & Related papers (2026-07-06T03:37:16Z) - Broadband Wide Field of View Imaging with Computational Mirrors [12.437317201334581]
This paper introduces Computational Mirrors, a framework that enables high-resolution, wide-field-of-view imaging.<n>By capturing a minimal focal stack (2-4 images), we utilize a computational backend to recover a sharp, all-in-focus image.<n>We demonstrate the efficacy of our approach using a first-of-its-kind 50mm F/1 optical system equipped with a VIS-SWIR sensor.
arXiv Detail & Related papers (2026-04-22T19:04:18Z) - High-Resolution Single-Shot Polarimetric Imaging Made Easy [76.04914313843774]
EasyPolar is a multi-view polarimetric imaging framework.<n>Three synchronized RGB cameras capture one unpolarized view and two polarized views with distinct orientations.<n>A confidence-guided polarization reconstruction network is proposed to address the potential misalignment in multi-view fusion.
arXiv Detail & Related papers (2026-04-07T08:20:58Z) - $D^3$-RSMDE: 40$\ imes$ Faster and High-Fidelity Remote Sensing Monocular Depth Estimation [72.9912717963138]
Real-time, high-fidelity monocular depth estimation from remote sensing imagery is crucial for numerous applications.<n>Although using Vision Transformer (ViT) backbones for dense prediction is fast, they often exhibit poor perceptual quality.<n>We propose Depth Detail Diffusion for Remote Sensing Monocular Depth Estimation ($D3$-RSMDE) to overcome these limitations.<n>$D3$-RSMDE achieves a notable 11.85% reduction in the Learned Perceptual Image Patch Similarity (LPIPS) perceptual metric.
arXiv Detail & Related papers (2026-03-17T10:50:36Z) - OmniLens++: Blind Lens Aberration Correction via Large LensLib Pre-Training and Latent PSF Representation [72.72583225885636]
This work proposes the OmniLens++ framework, which resolves two challenges that hinder the generalization ability of existing pipelines.<n>Experiments on diverse aberrations of real-world lenses and synthetic LensLib show that OmniLens++ exhibits state-of-the-art generalization capacity in blind aberration correction.
arXiv Detail & Related papers (2025-11-21T10:41:54Z) - LiNeXt: Revisiting LiDAR Completion with Efficient Non-Diffusion Architectures [52.59993476989728]
LiNeXt is a lightweight, non-diffusion network optimized for rapid and accurate point cloud completion.<n>LiNeXt achieves a 199.8x speedup in inference, reduces Chamfer Distance by 50.7%, and uses only 6.1% of the parameters compared with LiDiff.
arXiv Detail & Related papers (2025-11-13T11:28:18Z) - Inverse-Designed Photonic Crystal Cavities with Controllable Far-Field Numerical Aperture [0.0]
Photonic crystal cavities confine light to subwavelength volumes, enabling strong light-matter interactions for applications in low-power photonics, opto-electronics, nonlinear optics, and quantum information.<n>Previous inverse design efforts targeted high quality factors and low mode volumes, sacrificing the coupling efficiency or lacking the ability to precisely control the far-field radiation pattern.<n>We present an inverse design framework that simultaneously optimize cavity quality factor and far-field numerical aperture, both specified as design targets.
arXiv Detail & Related papers (2025-09-20T22:48:06Z) - Correcting astigmatism and ellipticity in Gaussian beams using a cylindrical lens pair with tunable focal lengths [45.71580706064075]
correcting astigmatism and ellipticity in laser beams is critical for improving performance in microscopy, atomic physics, quantum information processing, and advanced manufacturing.<n>Active solutions based on diffractive optical elements can achieve superior performance, but they are bulky, expensive, and suffer from finite diffraction efficiency and added complexity.<n>Here, we introduce a simple method to convert astigmatic elliptical beams into circular Gaussian beams without astigmatism.
arXiv Detail & Related papers (2025-06-27T15:19:27Z) - Calibration-free single-frame super-resolution fluorescence microscopy [0.0]
We present a deep-learning approach that reconstructs super-resolved images directly from a single diffraction-limited camera frame.<n>Applying to dense terrylene samples with 150 ms acquisition time, our method significantly reduces reconstruction error.<n>By delivering unprecedented details from a single short camera exposure without prior information and calibration, our approach enables plug-and-play super-resolution imaging.
arXiv Detail & Related papers (2025-05-19T16:14:45Z) - "Super-resolution" holographic optical tweezers array [0.0]
We introduce a hologram design method based on the optimisation of a nonlinear cost function using a holographic phase pattern.
We confirm a spot interval of 0.952(1) $mu$m in a $5 times 5$ multispot pattern on the focal plane of a high-numerical-aperture (0.75) objective.
The proposed method is expected to advance laser fabrication, scanning laser microscopy, and cold atom physics, among other fields.
arXiv Detail & Related papers (2024-11-06T00:00:21Z) - LGFN: Lightweight Light Field Image Super-Resolution using Local Convolution Modulation and Global Attention Feature Extraction [5.461017270708014]
We propose a lightweight model named LGFN which integrates the local and global features of different views and the features of different channels for LF image SR.
Our model has a parameter of 0.45M and a FLOPs of 19.33G which has achieved a competitive effect.
arXiv Detail & Related papers (2024-09-26T11:53:25Z) - Super-resolution imaging using super-oscillatory diffractive neural networks [31.825503659600702]
Super-oscillatory diffractive neural network, i.e., SODNN, can achieve super-resolved spatial resolution for imaging beyond diffraction limit.
SODNN is constructed by utilizing diffractive layers to implement optical interconnections and imaging samples or biological sensors.
Our research work will inspire the development of intelligent optical instruments to facilitate the applications of imaging, sensing, perception, etc.
arXiv Detail & Related papers (2024-06-27T12:16:35Z) - Phase Guided Light Field for Spatial-Depth High Resolution 3D Imaging [36.208109063579066]
On 3D imaging, light field cameras typically are of single shot, and they heavily suffer from low spatial resolution and depth accuracy.
We propose a phase guided light field algorithm to significantly improve both the spatial and depth resolutions for off-the-shelf light field cameras.
arXiv Detail & Related papers (2023-11-17T15:08:15Z) - Optimal baseline exploitation in vertical dark-matter detectors based on
atom interferometry [50.06952271801328]
Several terrestrial detectors for gravitational waves and dark matter based on long-baseline atom interferometry are currently in the final planning stages or already under construction.
We show that resonant-mode detectors based on multi-diamond fountain gradiometers achieve the optimal, shot-noise limited, sensitivity if their height constitutes 20% of the available baseline.
arXiv Detail & Related papers (2023-09-08T08:38:24Z) - Atomic diffraction from single-photon transitions in gravity and
Standard-Model extensions [49.26431084736478]
We study single-photon transitions, both magnetically-induced and direct ones, in gravity and Standard-Model extensions.
We take into account relativistic effects like the coupling of internal to center-of-mass degrees of freedom, induced by the mass defect.
arXiv Detail & Related papers (2023-09-05T08:51:42Z) - Streamlined Lensed Quasar Identification in Multiband Images via
Ensemble Networks [34.82692226532414]
Quasars experiencing strong lensing offer unique viewpoints on subjects related to cosmic expansion rate, dark matter, and quasar host galaxies.
We have developed a novel approach by ensembling cutting-edge convolutional networks (CNNs) trained on realistic galaxy-quasar lens simulations.
We retrieve approximately 60 million sources as parent samples and reduce this to 892,609 after employing a photometry preselection to discover quasars with Einstein radii of $theta_mathrmE5$ arcsec.
arXiv Detail & Related papers (2023-07-03T15:09:10Z) - High-dimensional quantum correlation measurements with an adaptively
gated hybrid single-photon camera [58.720142291102135]
We propose an adaptively-gated hybrid intensified camera (HIC) that combines a high spatial resolution sensor and a high temporal resolution detector.
With a spatial resolution of nearly 9 megapixels and nanosecond temporal resolution, this system allows for the realization of previously infeasible quantum optics experiments.
arXiv Detail & Related papers (2023-05-25T16:59:27Z) - Universal and Flexible Optical Aberration Correction Using Deep-Prior
Based Deconvolution [51.274657266928315]
We propose a PSF aware plug-and-play deep network, which takes the aberrant image and PSF map as input and produces the latent high quality version via incorporating lens-specific deep priors.
Specifically, we pre-train a base model from a set of diverse lenses and then adapt it to a given lens by quickly refining the parameters.
arXiv Detail & Related papers (2021-04-07T12:00:38Z) - A learning-based view extrapolation method for axial super-resolution [52.748944517480155]
Axial light field resolution refers to the ability to distinguish features at different depths by refocusing.
We propose a learning-based method to extrapolate novel views from axial volumes of sheared epipolar plane images.
arXiv Detail & Related papers (2021-03-11T07:22:13Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.