Mo Deng

Mo Deng

Massachusetts Institute of Technology

H-index: 6

North America-United States

About Mo Deng

Mo Deng, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Massachusetts Institute of Technology,

His recent articles reflect a diverse array of research interests and contributions to the field:

High speed single-frame label-free cell tomography

Single-frame label-free cell tomography at speed of more than 10,000 volumes per second

Single-shot tomographic microscopy for fast 3D cellular imaging

High throughput three-dimensional imaging cytometry based on single-shot optical diffraction tomography system

On the interplay between physical and content priors in deep learning for computational imaging

High-speed optical diffraction tomography (ODT) with deep-learning approach (Conference Presentation)

Learning to synthesize: robust phase retrieval at low photon counts

Probing shallower: perceptual loss trained Phase Extraction Neural Network (PLT-PhENN) for artifact-free reconstruction at low photon budget

Mo Deng Information

University

Position

___

Citations(all)

564

Citations(since 2020)

543

Cited By

230

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Top articles of Mo Deng

High speed single-frame label-free cell tomography

2023/6/15

Single-frame label-free cell tomography at speed of more than 10,000 volumes per second

arXiv preprint arXiv:2202.03627

2022/2/8

Single-shot tomographic microscopy for fast 3D cellular imaging

2021/4/12

High throughput three-dimensional imaging cytometry based on single-shot optical diffraction tomography system

2021/3/5

On the interplay between physical and content priors in deep learning for computational imaging

Optics Express

2020/8/3

High-speed optical diffraction tomography (ODT) with deep-learning approach (Conference Presentation)

2020/3/11

Learning to synthesize: robust phase retrieval at low photon counts

Light: Science & Applications

2020/3/9

Probing shallower: perceptual loss trained Phase Extraction Neural Network (PLT-PhENN) for artifact-free reconstruction at low photon budget

Optics Express

2020/1/20

See List of Professors in Mo Deng University(Massachusetts Institute of Technology)