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Related papers: 3D Snapshot Microscopy of Extended Objects

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Despite recent advances, high performance single-shot 3D microscopy remains an elusive task. By introducing designed diffractive optical elements (DOEs), one is capable of converting a microscope into a 3D "kaleidoscope", in which case the…

To study the behavior of freely moving model organisms such as zebrafish (Danio rerio) and fruit flies (Drosophila) across multiple spatial scales, it would be ideal to use a light microscope that can resolve 3D information over a wide…

A simple method of constructing the 3D surface of non-transparent micro-objects by extending the depth-of-field on the whole attainable surface is presented. The series of images of a sample are recorded by the sequential movement of the…

Instrumentation and Detectors · Physics 2009-04-15 V. V. Berejnov

We extend our previously proposed image reconstruction method, which allows confocal microscopes to capture periodically moving objects at frequencies beyond their frame rates, to three-dimensional and two-dimensional wide-field imaging.…

Optics · Physics 2026-03-03 Kanta Adachi , Soyoka Hemmi , Nobutomo Nakamura

Fluorescence microscopy has been a significant tool to observe long-term imaging of embryos (in vivo) growth over time. However, cumulative exposure is phototoxic to such sensitive live samples. While techniques like light-sheet…

Image and Video Processing · Electrical Eng. & Systems 2022-01-05 Varun Mannam , Jacob Brandt , Cody J. Smith , Scott Howard

Real-time 3D fluorescence microscopy is crucial for the spatiotemporal analysis of live organisms, such as neural activity monitoring. The eXtended field-of-view light field microscope (XLFM), also known as Fourier light field microscope,…

Image and Video Processing · Electrical Eng. & Systems 2023-06-16 Josué Page Vizcaíno , Panagiotis Symvoulidis , Zeguan Wang , Jonas Jelten , Paolo Favaro , Edward S. Boyden , Tobias Lasser

We propose an approach for 3D reconstruction and segmentation of a single object placed on a flat surface from an input video. Our approach is to perform dense depth map estimation for multiple views using a proposed objective function that…

Computer Vision and Pattern Recognition · Computer Science 2016-07-29 Tanmay Gupta , Daeyun Shin , Naren Sivagnanadasan , Derek Hoiem

Image-based 3D reconstruction or 3D photogrammetry of small-scale objects including insects and biological specimens is challenging due to the use of high magnification lens with inherent limited depth of field, and the object's fine…

Computer Vision and Pattern Recognition · Computer Science 2019-12-09 Hengjia Li , Chuong Nguyen

Optical phase-space functions describe spatial and angular information simultaneously; examples include light fields in ray optics and Wigner functions in wave optics. Measurement of phase-space enables digital refocusing, aberration…

Optics · Physics 2017-08-02 Hsiou-Yuan Liu , Jingshan Zhong , Laura Waller

Several methods have been proposed for large-scale 3D reconstruction from large, unorganized image collections. A large reconstruction problem is typically divided into multiple components which are reconstructed independently using…

Computer Vision and Pattern Recognition · Computer Science 2016-10-13 Rajvi Shah , Aditya Deshpande , P J Narayanan

Automatic reconstruction of 3D models from images using multi-view Structure-from-Motion methods has been one of the most fruitful outcomes of computer vision. These advances combined with the growing popularity of Micro Aerial Vehicles as…

Robotics · Computer Science 2016-11-15 Shreyansh Daftry , Christof Hoppe , Horst Bischof

Miniature fluorescence microscopes are a standard tool in systems biology. However, widefield miniature microscopes capture only 2D information, and modifications that enable 3D capabilities increase the size and weight and have poor…

Image and Video Processing · Electrical Eng. & Systems 2020-10-13 Kyrollos Yanny , Nick Antipa , William Liberti , Sam Dehaeck , Kristina Monakhova , Fanglin Linda Liu , Konlin Shen , Ren Ng , Laura Waller

In this paper, we propose a novel method for joint recovery of camera pose, object geometry and spatially-varying Bidirectional Reflectance Distribution Function (svBRDF) of 3D scenes that exceed object-scale and hence cannot be captured…

Computer Vision and Pattern Recognition · Computer Science 2023-06-07 Carolin Schmitt , Božidar Antić , Andrei Neculai , Joo Ho Lee , Andreas Geiger

We present a new Multimodal Fiber Array Snapshot Technique (M-FAST), based on an array of 96 compact cameras placed behind a primary objective lens and a fiber bundle array. which is capable of large-area, high-resolution, multi-channel…

We demonstrate single-shot compressive three-dimensional (3D) $(x, y, z)$ imaging based on interference coding. The depth dimension of the object is encoded into the interferometric spectra of the light field, resulting a $(x, y, \lambda)$…

Image and Video Processing · Electrical Eng. & Systems 2020-04-07 Mu Qiao , Yangyang Sun , Jiawei Ma , Ziyi Meng , Xuan Liu , Xin Yuan

This article experimentally examines different configurations of a novel multi-camera array microscope (MCAM) imaging technology. The MCAM is based upon a densely packed array of "micro-cameras" to jointly image across a large field-of-view…

Three-dimensional (3D) fluorescence microscopy in general requires axial scanning to capture images of a sample at different planes. Here we demonstrate that a deep convolutional neural network can be trained to virtually refocus a 2D…

Computer Vision and Pattern Recognition · Computer Science 2019-11-05 Yichen Wu , Yair Rivenson , Hongda Wang , Yilin Luo , Eyal Ben-David , Laurent A. Bentolila , Christian Pritz , Aydogan Ozcan

Light-field microscopy represents a promising solution for microscopic volumetric imaging, thanks to its capability to encode information on multiple planes in a single acquisition. This is achieved through its peculiar simultaneous capture…

Incrementally recovering 3D dense structures from monocular videos is of paramount importance since it enables various robotics and AR applications. Feature volumes have recently been shown to enable efficient and accurate incremental dense…

Computer Vision and Pattern Recognition · Computer Science 2023-05-25 Xingxing Zuo , Nan Yang , Nathaniel Merrill , Binbin Xu , Stefan Leutenegger

Real-time 3D reconstruction enables fast dense mapping of the environment which benefits numerous applications, such as navigation or live evaluation of an emergency. In contrast to most real-time capable approaches, our approach does not…

Computer Vision and Pattern Recognition · Computer Science 2021-04-22 Max Hermann , Boitumelo Ruf , Martin Weinmann
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