High-throughput analysis of contact angle goniometry data using DropPy

被引:4
|
作者
Orella, Michael Julian [1 ]
Leonard, McLain Evan [1 ]
Roman-Leshkov, Yuriy [1 ]
Brushett, Fikile Richard [1 ]
机构
[1] MIT, Dept Chem Engn, 77 Massachusetts Ave, Cambridge, MA 02141 USA
基金
美国国家科学基金会;
关键词
Contact angle goniometry; High-throughput image analysis; Automatic edge detection; SURFACE-TENSION; WATER MANAGEMENT; WETTABILITY; PENDANT; !text type='PYTHON']PYTHON[!/text; LAYERS;
D O I
10.1016/j.softx.2021.100665
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
At present, surface wettability measurements are an underutilized segment of the characterization toolkit, in part due to the redundancy inherent in manual analysis. Even so, there have been numerous advances in contact angle data collection and analysis methods. The emergence of inexpensive and powerful hardware in increasingly small form-factors and the development of robust and versatile software packages would enable interrogation of wetting phenomena across a range of platforms. Here, we introduce DropPy, an open-source Python implementation of the classic axisymmetric drop shape analysis technique to fit droplet profiles from images while providing an easy interface through which casual users may interpret their findings. (C) 2021 The Author(s). Published by Elsevier B.V.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] High-Throughput Glycome Analysis Is Set To Join High-Throughput Genomics
    Rudd, Pauline M.
    Rudan, Igor
    Wright, Alan F.
    JOURNAL OF PROTEOME RESEARCH, 2009, 8 (03) : 1105 - 1105
  • [42] Functional analysis of high-content high-throughput imaging data
    Jiang, Xiaoqi
    Wink, Steven
    van de Water, Bob
    Kopp-Schneider, Annette
    JOURNAL OF APPLIED STATISTICS, 2017, 44 (11) : 1903 - 1919
  • [43] Statistical analysis of the cancer cell's molecular entropy using high-throughput data
    van Wieringen, Wessel N.
    van der Vaart, Aad W.
    BIOINFORMATICS, 2011, 27 (04) : 556 - 563
  • [44] Deconvolution of high-throughput multicomponent isotherms using multivariate data analysis of protein spectra
    Baumann, Pascal
    Huuk, Thiemo
    Hahn, Tobias
    Osberghaus, Anna
    Hubbuch, Juergen
    ENGINEERING IN LIFE SCIENCES, 2016, 16 (02): : 194 - 201
  • [45] Analysis of Chemotherapeutic Response in Ovarian Cancers Using Publicly Available High-Throughput Data
    Bosquet, Jesus Gonzalez
    Marchion, Douglas C.
    Chon, HyeSook
    Lancaster, Johnathan M.
    Chanock, Stephen
    CANCER RESEARCH, 2014, 74 (14) : 3902 - 3912
  • [46] msBiodat analysis tool, big data analysis for high-throughput experiments
    Munoz-Torres, Pau M.
    Rokc, Filip
    Beluzic, Robert
    Grbesa, Ivana
    Vugrek, Oliver
    BIODATA MINING, 2016, 9
  • [47] msBiodat analysis tool, big data analysis for high-throughput experiments
    Pau M. Muñoz-Torres
    Filip Rokć
    Robert Belužic
    Ivana Grbeša
    Oliver Vugrek
    BioData Mining, 9
  • [48] High-throughput analysis of hexosamine using a colorimetric method
    Cheng, Yu-Shen
    Labavitch, John
    VanderGheynst, Jean S.
    ANALYTICAL BIOCHEMISTRY, 2011, 408 (01) : 160 - 162
  • [49] High-throughput gene expression analysis using SAGE
    Bertelsen, AH
    Velculescu, VE
    DRUG DISCOVERY TODAY, 1998, 3 (04) : 152 - 159
  • [50] MICROSATELLITE DEVELOPMENT IN RHODOPHYTA USING HIGH-THROUGHPUT SEQUENCE DATA
    Couceiro, Lucia
    Maneiro, Isabel
    Mauger, Stephane
    Valero, Myriam
    Miguel Ruiz, Jose
    Barreiro, Rodolfo
    JOURNAL OF PHYCOLOGY, 2011, 47 (06) : 1258 - 1265