Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation. / Wu, Jian X.; Kucheryavskiy, Sergey V.; Jensen, Linda G.; Rades, Thomas; Muellertz, Anette; Rantanen, Jukka.

In: Crystal Growth & Design, Vol. 15, No. 10, 10.2015, p. 4876-4885.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Wu, JX, Kucheryavskiy, SV, Jensen, LG, Rades, T, Muellertz, A & Rantanen, J 2015, 'Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation', Crystal Growth & Design, vol. 15, no. 10, pp. 4876-4885. https://doi.org/10.1021/acs.cgd.5b00720

APA

Wu, J. X., Kucheryavskiy, S. V., Jensen, L. G., Rades, T., Muellertz, A., & Rantanen, J. (2015). Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation. Crystal Growth & Design, 15(10), 4876-4885. https://doi.org/10.1021/acs.cgd.5b00720

Vancouver

Wu JX, Kucheryavskiy SV, Jensen LG, Rades T, Muellertz A, Rantanen J. Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation. Crystal Growth & Design. 2015 Oct;15(10):4876-4885. https://doi.org/10.1021/acs.cgd.5b00720

Author

Wu, Jian X. ; Kucheryavskiy, Sergey V. ; Jensen, Linda G. ; Rades, Thomas ; Muellertz, Anette ; Rantanen, Jukka. / Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation. In: Crystal Growth & Design. 2015 ; Vol. 15, No. 10. pp. 4876-4885.

Bibtex

@article{7e2100a1f8f14b5cab3db6791855fb86,
title = "Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation",
abstract = "Estimation of nucleation and crystal growth rates from microscopic information is of critical importance. This can be an especially challenging task if needle growth of crystals is observed. To address this challenge, an image analytical method for counting of needle-shaped crystals and estimating their length is presented. Since the current algorithm has a number of parameters that need to be optimized, a combination of simulation of needle crystal growth and Design of Experiments was applied to identify the optimal parameter settings for the algorithm. The algorithm was validated for its accuracy in different scenarios of simulated needle crystallization, and subsequently, the algorithm was applied to study the influence of additive on antisolvent crystallization. The developed algorithm is robust for quantifying heavily intersecting needle crystals in optical microscopy images, and has the potential for being applied for real-time crystallization monitoring and control.",
author = "Wu, {Jian X.} and Kucheryavskiy, {Sergey V.} and Jensen, {Linda G.} and Thomas Rades and Anette Muellertz and Jukka Rantanen",
year = "2015",
month = oct,
doi = "10.1021/acs.cgd.5b00720",
language = "English",
volume = "15",
pages = "4876--4885",
journal = "Crystal Growth & Design",
issn = "1528-7483",
publisher = "American Chemical Society",
number = "10",

}

RIS

TY - JOUR

T1 - Image Analytical Approach for Needle-Shaped Crystal Counting and Length Estimation

AU - Wu, Jian X.

AU - Kucheryavskiy, Sergey V.

AU - Jensen, Linda G.

AU - Rades, Thomas

AU - Muellertz, Anette

AU - Rantanen, Jukka

PY - 2015/10

Y1 - 2015/10

N2 - Estimation of nucleation and crystal growth rates from microscopic information is of critical importance. This can be an especially challenging task if needle growth of crystals is observed. To address this challenge, an image analytical method for counting of needle-shaped crystals and estimating their length is presented. Since the current algorithm has a number of parameters that need to be optimized, a combination of simulation of needle crystal growth and Design of Experiments was applied to identify the optimal parameter settings for the algorithm. The algorithm was validated for its accuracy in different scenarios of simulated needle crystallization, and subsequently, the algorithm was applied to study the influence of additive on antisolvent crystallization. The developed algorithm is robust for quantifying heavily intersecting needle crystals in optical microscopy images, and has the potential for being applied for real-time crystallization monitoring and control.

AB - Estimation of nucleation and crystal growth rates from microscopic information is of critical importance. This can be an especially challenging task if needle growth of crystals is observed. To address this challenge, an image analytical method for counting of needle-shaped crystals and estimating their length is presented. Since the current algorithm has a number of parameters that need to be optimized, a combination of simulation of needle crystal growth and Design of Experiments was applied to identify the optimal parameter settings for the algorithm. The algorithm was validated for its accuracy in different scenarios of simulated needle crystallization, and subsequently, the algorithm was applied to study the influence of additive on antisolvent crystallization. The developed algorithm is robust for quantifying heavily intersecting needle crystals in optical microscopy images, and has the potential for being applied for real-time crystallization monitoring and control.

U2 - 10.1021/acs.cgd.5b00720

DO - 10.1021/acs.cgd.5b00720

M3 - Journal article

VL - 15

SP - 4876

EP - 4885

JO - Crystal Growth & Design

JF - Crystal Growth & Design

SN - 1528-7483

IS - 10

ER -

ID: 161662700