Dehua Hu

ORCID: 0009-0007-3802-5894
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About
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Research Areas
  • Cell Image Analysis Techniques
  • Single-cell and spatial transcriptomics
  • Entomopathogenic Microorganisms in Pest Control
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Biosensors and Analytical Detection
  • Insect Pest Control Strategies
  • Gene expression and cancer classification
  • Microfluidic and Bio-sensing Technologies
  • Circular RNAs in diseases
  • Cancer-related molecular mechanisms research
  • MicroRNA in disease regulation
  • Insect Resistance and Genetics

Central South University
2016-2023

Chinese University of Hong Kong
2023

Abstract Absolute quantification of biological samples provides precise numerical expression levels, enhancing accuracy, and performance for rare templates. Current methodologies, however, face challenges‐flow cytometers are costly complex, whereas fluorescence imaging, relying on software or manual counting, is time‐consuming error‐prone. It presented that Deep‐qGFP, a deep learning‐aided pipeline the automated detection classification green fluorescent protein (GFP) labeled microreactors,...

10.1002/smtd.202301293 article EN cc-by-nc Small Methods 2023-11-27

Selection pressure caused by long-term intensive use of insecticides is the key driving force in resistance development. Additional parameters such as environmental conditions may affect both mosquito response to and selection mechanisms. In this context, we analyzed determinants kdr prevalence Anopheles sinensis across China. We collected frequency from 48 sites central southern China, together with factors including climatic data, topographic features, main crops, land cover types. Trend...

10.1111/jvec.12226 article EN Journal of Vector Ecology 2016-11-17

We present an innovative deep learning-aided paradigm that enables real-time and automated detection classification of GFP (Green fluorescence protein)-labeled microreactor, overcoming the limitations conventional methods.

10.1364/cleo_at.2024.af1b.6 article EN 2024-01-01

Oral squamous cell carcinoma (OSCC) is a highly invasive type of head and neck cancer.Circular RNA (circRNA) acts as competing endogenous (ceRNA) involves in pathogenesis many diseases.However, the circRNA-miRNA-mRNA network relationship between ceRNA immune infiltration OSCC remain unknown.In this study, we established network, including 89 circRNAs, 43 miRNAs 223 mRNAs, found that 233 genes are mainly related to malignant signalling pathways (including "Integrin family surface...

10.7150/jca.79967 article EN cc-by-nc Journal of Cancer 2023-01-01

Absolute quantification of biological samples entails determining expression levels in precise numerical copies, offering enhanced accuracy and superior performance for rare templates. However, existing methodologies suffer from significant limitations: flow cytometers are both costly intricate, while fluorescence imaging relying on software tools or manual counting is time-consuming prone to inaccuracies. In this study, we have devised a comprehensive deep-learning-enabled pipeline that...

10.48550/arxiv.2309.01384 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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