Efficient high-resolution deep learning: A survey
Cameras in modern devices such as smartphones, satellites and medical equipment are
capable of capturing very high resolution images and videos. Such high-resolution data …
capable of capturing very high resolution images and videos. Such high-resolution data …
Parallelized computational 3D video microscopy of freely moving organisms at multiple gigapixels per second
Wide-field-of-view microscopy that can resolve three-dimensional (3D) information at high
speed and spatial resolution is particularly desirable for studying the behaviour of freely …
speed and spatial resolution is particularly desirable for studying the behaviour of freely …
Imaging across multiple spatial scales with the multi-camera array microscope
This paper experimentally examines different configurations of a multi-camera array
microscope (MCAM) imaging technology. The MCAM is based upon a densely packed array …
microscope (MCAM) imaging technology. The MCAM is based upon a densely packed array …
Multi-modal imaging using a cascaded microscope design
We present a multi-modal 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. Our …
compact cameras placed behind a primary objective lens and a fiber bundle array. Our …
Species Identification of Caterpillar Eggs by Machine Learning Using a Convolutional Neural Network and Massively Parallelized Microscope
Rapid, accurate insect identification is the first and most critical step of pest management
and vital to agriculture for determining optimal management strategies. In many instances …
and vital to agriculture for determining optimal management strategies. In many instances …
Gigapixel-per-second, wide-field 3D topographic imaging with physics-supervised learning
We present a new interleaved multi-camera microscope architecture and a physics-
supervised multi-ocular stereo neural network that enable simultaneous photometric and 3D …
supervised multi-ocular stereo neural network that enable simultaneous photometric and 3D …
[PDF][PDF] Species Identification of Caterpillar Eggs by Machine Learning Using a Convolutional Neural Network and Massively Parallelized Microscope. Agriculture 2022 …
J Efromson, R Lawrie, TJJ Doman, M Bertone… - 2022 - storage.prod.researchhub.com
Rapid, accurate insect identification is the first and most critical step of pest management
and vital to agriculture for determining optimal management strategies. In many instances …
and vital to agriculture for determining optimal management strategies. In many instances …