- Volumes 84-95 (2024)
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Volumes 72-83 (2023)
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Volume 83
Pages 1-258 (December 2023)
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Volume 82
Pages 1-204 (November 2023)
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Volume 81
Pages 1-188 (October 2023)
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Volume 80
Pages 1-202 (September 2023)
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Volume 79
Pages 1-172 (August 2023)
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Volume 78
Pages 1-146 (July 2023)
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Volume 77
Pages 1-152 (June 2023)
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Volume 76
Pages 1-176 (May 2023)
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Volume 75
Pages 1-228 (April 2023)
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Volume 74
Pages 1-200 (March 2023)
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Volume 73
Pages 1-138 (February 2023)
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Volume 72
Pages 1-144 (January 2023)
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Volume 83
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Volumes 60-71 (2022)
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Volume 71
Pages 1-108 (December 2022)
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Volume 70
Pages 1-106 (November 2022)
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Volume 69
Pages 1-122 (October 2022)
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Volume 68
Pages 1-124 (September 2022)
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Volume 67
Pages 1-102 (August 2022)
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Volume 66
Pages 1-112 (July 2022)
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Volume 65
Pages 1-138 (June 2022)
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Volume 64
Pages 1-186 (May 2022)
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Volume 63
Pages 1-124 (April 2022)
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Volume 62
Pages 1-104 (March 2022)
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Volume 61
Pages 1-120 (February 2022)
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Volume 60
Pages 1-124 (January 2022)
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Volume 71
- Volumes 54-59 (2021)
- Volumes 48-53 (2020)
- Volumes 42-47 (2019)
- Volumes 36-41 (2018)
- Volumes 30-35 (2017)
- Volumes 24-29 (2016)
- Volumes 18-23 (2015)
- Volumes 12-17 (2014)
- Volume 11 (2013)
- Volume 10 (2012)
- Volume 9 (2011)
- Volume 8 (2010)
- Volume 7 (2009)
- Volume 6 (2008)
- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
• PIDLS measures nanoparticle size and morphology, as well as distributions simultaneously.
• Optical sphericity is proposed to assess particle morphology resembling a sphere.
• PIDLS evaluates morphological and dimensional uniformity of nanoparticles.
The performance of nanoparticles is often affected by particle size and morphology. Currently, electron microscopy or atomic force microscopy is typically utilized to determine the size and morphology of nanoparticles. However, there are issues such as difficult sample preparation, long processing times, and challenges in quantitative characterization. Therefore, it is of great significance to develop a fast, accurate, and statistical method to measure the size and morphology of nanoparticles. In this study, a new method, called polarized imaging dynamic light scattering (PIDLS), is proposed. The nanoparticles are irradiated with a vertical linearly polarized laser beam, and a polarization camera collected the dynamic light scattering images of particles at four different polarization directions (0°, 45°, 90°, and 135°) at a scattering angle of 90°. The average particle size and distribution are obtained using the imaging dynamic light scattering method at 0° polarization direction, and the morphology of the particles is obtained based on the depolarization patterns of the scattered light. The optical sphericity Ф is defined based on the degree of linear polarization (DoLP). It is also implemented for the quantitative evaluation of the sphericity of the nanoparticles, including spherical, octahedral, nanoplate, nanorod, and linear ones. Together with the Poincaré sphere parameter ψ, the morphology of the nanoparticles can be roughly identified. In addition, PIDLS enables the measurement of particle size and morphology distributions simultaneously for evaluating the uniformity of particles. The effectiveness of PIDLS is verified by the measurement of five kinds of industrial titanium dioxide as well.