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Vicki Wanatasanappan V, Kumar Kanti P, Sharma P, Husna N, Abdullah M. Viscosity and rheological behavior of Al2O3-Fe2O3/water-EG based hybrid nanofluid: A new correlation based on mixture ratio. J Mol Liq 2023. [DOI: 10.1016/j.molliq.2023.121365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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Husna N, Gascoigne NRJ, Tey HL, Ng LG, Tan Y. Reprint of "Multi-modal image cytometry approach - From dynamic to whole organ imaging". Cell Immunol 2020; 350:104086. [PMID: 32169249 DOI: 10.1016/j.cellimm.2020.104086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 06/18/2019] [Accepted: 06/18/2019] [Indexed: 12/13/2022]
Abstract
Optical imaging is a valuable tool to visualise biological processes in the context of the tissue. Each imaging modality provides the biologist with different types of information - cell dynamics and migration over time can be tracked with time-lapse imaging (e.g. intra-vital imaging); an overview of whole tissues can be acquired using optical clearing in conjunction with light sheet microscopy; finer details such as cellular morphology and fine nerve tortuosity can be imaged at higher resolution using the confocal microscope. Multi-modal imaging combined with image cytometry - a form of quantitative analysis of image datasets - provides an objective basis for comparing between sample groups. Here, we provide an overview of technical aspects to look out for in an image cytometry workflow, and discuss issues related to sample preparation, image post-processing and analysis for intra-vital and whole organ imaging.
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Affiliation(s)
- Nazihah Husna
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 8A Biomedical Grove, Singapore 138648, Singapore; Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore
| | - Nicholas R J Gascoigne
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore
| | - Hong Liang Tey
- National Skin Centre, 1 Mandalay Road, Singapore 308205, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore 308232, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 117597, Singapore
| | - Lai Guan Ng
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 8A Biomedical Grove, Singapore 138648, Singapore; Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, 5 Science Drive 2, Singapore 117545, Singapore.
| | - Yingrou Tan
- Singapore Immunology Network (SIgN), A*STAR (Agency for Science, Technology and Research), Biopolis, 8A Biomedical Grove, Singapore 138648, Singapore; National Skin Centre, 1 Mandalay Road, Singapore 308205, Singapore.
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Husna N, Gascoigne NR, Tey HL, Ng LG, Tan Y. Multi-modal image cytometry approach – From dynamic to whole organ imaging. Cell Immunol 2019; 344:103946. [DOI: 10.1016/j.cellimm.2019.103946] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 06/18/2019] [Accepted: 06/18/2019] [Indexed: 12/27/2022]
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