Ian Millerschultz
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Ian Millerschultz's research focuses on developing and applying advanced microscopy techniques for biological imaging. He has investigated the use of expansion microscopy to physically enlarge whole-mount Drosophila embryos, enabling super-resolution imaging. This work aims to improve the resolution and detail obtainable from biological samples, particularly in the study of developmental processes.
Millerschultz collaborates with researchers at the University of Arkansas at Fayetteville, including Adam C. Paré, Samia Parveen, and Nicolas W. Jones, with whom he has co-authored multiple publications. His current work involves the creation of video datasets to support scientific research and education. Millerschultz's scholarship metrics include an h-index of 1, with 2 total publications and 5 total citations.
Metrics
- h-index: 1
- Publications: 2
- Citations: 5
Positions
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Associate Professor 2019–presentSharif University of Technology Chemistry ORCID
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Assistant Professor 2007–presentSharif University of Technology Chemistry ORCID
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Assistant Professor publications 2023University of Arkansas at Fayetteville ORCID
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Project manager 1998–2007Research Institute of Petroleum Industry Chemistry and Perochemistry ORCID
Selected Publications
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JoVE Video Dataset (2023)
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Using Expansion Microscopy to Physically Enlarge Whole-Mount Drosophila Embryos for Super-Resolution Imaging (2023)
Collaboration Network
Top Collaborators
- Using Expansion Microscopy to Physically Enlarge Whole-Mount <em>Drosophila</em> Embryos for Super-Resolution Imaging
- JoVE Video Dataset
- Using Expansion Microscopy to Physically Enlarge Whole-Mount <em>Drosophila</em> Embryos for Super-Resolution Imaging
- JoVE Video Dataset
- Using Expansion Microscopy to Physically Enlarge Whole-Mount <em>Drosophila</em> Embryos for Super-Resolution Imaging
- JoVE Video Dataset
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