52 citations · 91 across the 15 of their papers we have counts for
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Deconvolution in Fluorescence Lifetime imaging microscopy (FLIM)
Varun Mannam, Xiaotong Yuan, Scott Howard
Fluorescence lifetime imaging microscopy (FLIM) is an important technique to understand the chemical micro-environment in cells and tissues since it provides additional contrast co…
Low dosage 3D volume fluorescence microscopy imaging using compressive sensing
Varun Mannam, Jacob Brandt, Cody J. Smith +1
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…
Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM)
Varun Mannam, Yide Zhang, Xiaotong Yuan +6
Fluorescence lifetime imaging microscopy (FLIM) systems are limited by their slow processing speed, low signal-to-noise ratio (SNR), and expensive and challenging hardware setups.…
Deep learning-based super-resolution fluorescence microscopy on small datasets
Varun Mannam, Yide Zhang, Xiaotong Yuan +1
Fluorescence microscopy has enabled a dramatic development in modern biology by visualizing biological organisms with micrometer scale resolution. However, due to the diffraction l…
Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels
Scott Howard, Grant Barthelmes, Cara Ravasio +3
Packet Compressed Sensing Imaging (PCSI) is digital unconnected image transmission method resilient to packet loss. The goal is to develop a robust image transmission method that i…
Machine learning for faster and smarter fluorescence lifetime imaging microscopy
Varun Mannam, Yide Zhang, Xiaotong Yuan +2
Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique in biomedical research that uses the fluorophore decay rate to provide additional contrast in fluorescence m…
Instant Image Denoising Plugin for ImageJ using Convolutional Neural Networks
Varun Mannam, Yide Zhang, Yinhao Zhu +1
We present a new convolutional neural network (CNN) based ImageJ plugin for fluorescence microscopy image denoising with an average improvement of 7.5 dB in peak signal-to-noise ra…