A5048577924- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Digital Holography and Microscopy
- Near-Field Optical Microscopy
- Image Processing Techniques and Applications
- Ecosystem dynamics and resilience
- Optical Coherence Tomography Applications
- Insect and Arachnid Ecology and Behavior
- Digital Imaging for Blood Diseases
- Fossil Insects in Amber
- Slime Mold and Myxomycetes Research
- Ultrasound Imaging and Elastography
- Sports Performance and Training
- Optical measurement and interference techniques
- Medical Imaging Techniques and Applications
- AI in cancer detection
Duke University
2023-2024
Optics Technology (United States)
2023
This paper experimentally examines different configurations of a multi-camera array microscope (MCAM) imaging technology. The MCAM is based upon densely packed “micro-cameras” to jointly image across large field-of-view (FOV) at high resolution. Each micro-camera within the images unique area sample interest, and then all acquired data with 54 micro-cameras are digitally combined into composite frames, whose total pixel counts significantly exceed standard systems. We present results from...
We introduce an innovative MCAM architecture using a 6x8 array of 48 lenses and sensors for simultaneous 0.624 gigapixel imaging within few centimeters, delivering near-cellular resolution. This enables 3D video recording radiometric fluorescence organisms stereoscopic capture appropriate filters. Such feature proves advantageous when conducting combined investigations into organism behavior functional measurements. Moreover, the is equipped to perform birefringent by incorporating suitable...
It is challenging to study behavior of and track freely-moving model organisms using conventional 3D microscopy techniques. To overcome motion artifacts prevent the organism from leaving field view (FOV), existing techniques require paralyzing or otherwise immobilizing organism. Here, we demonstrate hemispheric Fourier light tomography, featuring a parabolic objective that enables synchronized multi-view fluorescence imaging over ~2pi steradians at up 120 fps across multi-millimeter FOVs....
We present a scheme termed Hardware Domain Adaptation that transforms the visual appearance of biomedical images to match given optical system. This allows us exploit large publicly available datasets for training custom machine learning algorithms inference on data sets captured by different imaging hardware same task. Moreover, this method train models lower-quality image are difficult or impossible annotate manually. demonstrate efficacy using an algorithm identify and count white blood...
We present a high-throughput computational imaging system capable of performing dense, volumetric fluorescence freely moving organisms at up to 120 volumes per second. Our method, termed 2pi Fourier light field tomography (2pi-FLIFT), consists planar array 54 cameras and parabolic mirror serving as the primary objective that allows for synchronized multi-view video capture over ~2pi steradians. 2pi-FLIFT features novel 3D reconstruction algorithm recovers both distribution attenuation map...
"Anyone who uses a microscope has likely noticed the limitation of trade-off between field view and resolution". To acquire highly resolved images at large fields view, existing techniques typically record sequential different positions then digitally stitch composite images. There are alternatives to this mechanical scanning procedure, such as structured illumination microscopy or Fourier ptychography that varying illuminations prevent for high-resolution image composites. However, all...
We present a high spatial resolution speckle-plethysmography (SPG) system with 0.3 gigapixels per snapshot, using recently developed parallelized array microscope. demonstrate an SPG video monitoring physarum cytoplasmic streaming through thin scattering layer across wide field of view.