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Found 17 papers, 4 papers with code
Computational 3D topographic microscopy from terabytes of data per sample
We present a large-scale computational 3D topographic microscope that enables 6-gigapixel profilometric 3D imaging at micron-scale resolution across $>$110 cm$^2$ areas over multi-millimeter axial ranges.
Digital staining in optical microscopy using deep learning -- a review
Until recently, conventional biochemical staining had the undisputed status as well-established benchmark for most biomedical problems related to clinical diagnostics, fundamental research and biotechnology.
Large-scale single-photon imaging
Benefiting from its single-photon sensitivity, single-photon avalanche diode (SPAD) array has been widely applied in various fields such as fluorescence lifetime imaging and quantum computing.
Imaging across multiple spatial scales with the multi-camera array microscope
This article experimentally examines different configurations of a novel multi-camera array microscope (MCAM) imaging technology.
Tensorial tomographic differential phase-contrast microscopy
We report Tensorial Tomographic Differential Phase-Contrast microscopy (T2DPC), a quantitative label-free tomographic imaging method for simultaneous measurement of phase and anisotropy.
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding
We evaluate our setup by classifying different spatiotemporal-decorrelating patterns hidden beneath a 5mm tissue-like phantom made with rapidly decorrelating dynamic scattering media.
Increasing a microscope's effective field of view via overlapped imaging and machine learning
This work demonstrates a multi-lens microscopic imaging system that overlaps multiple independent fields of view on a single sensor for high-efficiency automated specimen analysis.
Imaging dynamics beneath turbid media via parallelized single-photon detection
Noninvasive optical imaging through dynamic scattering media has numerous important biomedical applications but still remains a challenging task.
Mesoscopic photogrammetry with an unstabilized phone camera
We present a feature-free photogrammetric technique that enables quantitative 3D mesoscopic (mm-scale height variation) imaging with tens-of-micron accuracy from sequences of images acquired by a smartphone at close range (several cm) under freehand motion without additional hardware.
Deep image prior for undersampling high-speed photoacoustic microscopy
Photoacoustic microscopy (PAM) is an emerging imaging method combining light and sound.
Multi-element microscope optimization by a learned sensing network with composite physical layers
Standard microscopes offer a variety of settings to help improve the visibility of different specimens to the end microscope user.
Reconstructing undersampled photoacoustic microscopy images using deep learning
One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed.
Physics-enhanced machine learning for virtual fluorescence microscopy
This paper introduces a new method of data-driven microscope design for virtual fluorescence microscopy.
Diffraction tomography with a deep image prior
We present a tomographic imaging technique, termed Deep Prior Diffraction Tomography (DP-DT), to reconstruct the 3D refractive index (RI) of thick biological samples at high resolution from a sequence of low-resolution images collected under angularly varying illumination.
Image and Video Processing Biological Physics Optics
Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification
Here we focus on one such degree of freedom - illumination within a microscope - which can drastically alter information captured by the image sensor.
Convolutional neural networks that teach microscopes how to image
Deep learning algorithms offer a powerful means to automatically analyze the content of medical images.
Toward Long Distance, Sub-diffraction Imaging Using Coherent Camera Arrays
Recent advances in ptychography have demonstrated that one can image beyond the diffraction limit of the objective lens in a microscope.
