Hongda Wang | DeepAI

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Featured Co-authors

Aydogan Ozcan
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Yair Rivenson
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Tairan Liu
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Bijie Bai
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Yibo Zhang
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Yichen Wu
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∙ 06/30/2022

Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography

Plaque assay is the gold standard method for quantifying the concentrati...

0 Tairan Liu, et al. ∙

∙ 05/07/2022

Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor

Early detection and identification of pathogenic bacteria such as Escher...

20 Yuzhu Li, et al. ∙

∙ 12/08/2021

Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning

The immunohistochemical (IHC) staining of the human epidermal growth fac...

0 Bijie Bai, et al. ∙

∙ 12/22/2020

Deep learning-based virtual refocusing of images using an engineered point-spread function

We present a virtual image refocusing method over an extended depth of f...

0 Xilin Yang, et al. ∙

∙ 07/01/2020

Deep learning-based holographic polarization microscopy

Polarized light microscopy provides high contrast to birefringent specim...

10 Tairan Liu, et al. ∙

∙ 01/29/2020

Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning

We present a computational live bacteria detection system that periodica...

17 Hongda Wang, et al. ∙

∙ 01/31/2019

Three-dimensional propagation and time-reversal of fluorescence images

Unlike holography, fluorescence microscopy lacks an image propagation an...

6 Yichen Wu, et al. ∙

∙ 03/30/2018

Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue

Histological analysis of tissue samples is one of the most widely used m...

0 Yair Rivenson, et al. ∙

∙ 12/12/2017

Deep learning enhanced mobile-phone microscopy

Mobile-phones have facilitated the creation of field-portable, cost-effe...

0 Yair Rivenson, et al. ∙

∙ 05/12/2017

Deep Learning Microscopy

We demonstrate that a deep neural network can significantly improve opti...

0 Yair Rivenson, et al. ∙

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