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Compact Shielding of Graphene Monolayer Leads to Extraordinary SERS-Active Substrate with Large-Area Uniformity and Long-Term Stability.Demosaiced pixel super-resolution for multiplexed holographic color imaging.Color calibration and fusion of lens-free and mobile-phone microscopy images for high-resolution and accurate color reproductionRapid, portable and cost-effective yeast cell viability and concentration analysis using lensfree on-chip microscopy and machine learning.Sparsity-based multi-height phase recovery in holographic microscopy.Lensless digital holographic microscopy and its applications in biomedicine and environmental monitoring.Edge sparsity criterion for robust holographic autofocusing.Performance of ultra-thin SOI-based resonators for sensing applications.Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recoveryA deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samplesAccurate color imaging of pathology slides using holography and absorbance spectrum estimation of histochemical stainsA robust holographic autofocusing criterion based on edge sparsity: Comparison of Gini index and Tamura coefficient for holographic autofocusing based on the edge sparsity of the complex optical wavefrontDeep Neural Network-Based Phase-Recovery and Auto-Focusing Extend the Depth-of-Field in Digital HolographyLabel-Free Bioaerosol Sensing Using Mobile Microscopy and Deep LearningRobust Holographic Autofocusing Based on Edge SparsitySpatial mapping and analysis of aerosols during a forest fire using computational mobile microscopyLensfree On-chip Microscopy Achieves Accurate Measurement of Yeast Cell Viability and Concentration Using Machine LearningMobile Microscopy and Machine Learning Provide Accurate and High-throughput Monitoring of Air QualitySparsity-based On-chip Holographic MicroscopyBright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologramDeep Learning Enables High-Throughput Analysis of Particle-Aggregation-Based Biosensors Imaged Using HolographyVirtual histological staining of unlabelled tissue-autofluorescence images via deep learningDeep learning in holography and coherent imagingThree-dimensional virtual refocusing of fluorescence microscopy images using deep learning
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P50
description
researcher ORCID ID = 0000-0002-9343-5489
@en
name
Yichen Wu
@ast
Yichen Wu
@en
Yichen Wu
@nl
type
label
Yichen Wu
@ast
Yichen Wu
@en
Yichen Wu
@nl
prefLabel
Yichen Wu
@ast
Yichen Wu
@en
Yichen Wu
@nl
P106
P31
P496
0000-0002-9343-5489