Ziyuan Zhao

ORCID: 0009-0003-2019-1406
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • Cell Image Analysis Techniques
  • Remote Sensing and LiDAR Applications
  • Gene Regulatory Network Analysis
  • Cancer Genomics and Diagnostics
  • Geochemistry and Geologic Mapping
  • Photoreceptor and optogenetics research
  • Neurobiology and Insect Physiology Research
  • Receptor Mechanisms and Signaling
  • Remote Sensing in Agriculture
  • 3D Printing in Biomedical Research
  • Neural dynamics and brain function

Quantitative BioSciences
2023-2024

Harvard University
2023-2024

Center for Systems Biology
2024

University of New Brunswick
2006

Abstract Tumors are complex assemblies of cellular and acellular structures patterned on spatial scales from microns to centimeters. Study these has advanced dramatically with the introduction high-plex profiling. Image-based profiling methods reveal intensities distributions 20–100 proteins at subcellular resolution in 10 3 –10 7 cells per specimen. Despite extensive work for extracting single-cell data images, all tissue images contain artifacts such as folds, debris, antibody aggregates,...

10.1038/s41592-024-02328-0 article EN cc-by Nature Methods 2024-10-30

Tumors are complex assemblies of cellular and acellular structures patterned on spatial scales from microns to centimeters. Study these has advanced dramatically with the introduction high-plex profiling. Image-based profiling methods reveal intensities distributions 20-100 proteins at subcellular resolution in 10

10.1101/2023.11.01.565120 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-11-01

Improving vegetation classification accuracy of remote sensing images has an important signification to apply in forest areas. In this study, taking the Landsat 5 TM areas northern New Brunswick, Canada as example, potential solar radiation data and slope position are introduced classifying land. The objective is examine ability increasing by auxiliary data. After assessing using error matrix method, results show that can obviously improve

10.1109/igarss.2006.685 article EN 2006-07-01

Abstract The ability to learn is typically attributed animals with brains. However, the apparently simplest form of learning, habituation, in which a steadily decreasing response exhibited repeated stimulus, found not only but also single-cell organisms and individual mammalian cells. Habituation has been codified from studies both invertebrate vertebrate animals, as having ten characteristic hallmarks, seven involve single stimulus. Here, we show by mathematical modelling that simple...

10.1101/2024.08.04.606534 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-08-07
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