iPAINT: a general approach tailored to image the topology of interfaces with nanometer resolution

被引:40
|
作者
Aloi, A. [1 ,2 ]
Vilanova, N. [1 ,2 ]
Albertazzi, L. [1 ,4 ]
Voets, I. K. [1 ,2 ,3 ]
机构
[1] Eindhoven Univ Technol, Inst Complex Mol Syst, POB 513, NL-5600 MD Eindhoven, Netherlands
[2] Eindhoven Univ Technol, Dept Chem Engn & Chem, Lab Macromol & Organ Chem, POB 513, NL-5600 MD Eindhoven, Netherlands
[3] Eindhoven Univ Technol, Dept Chem Engn & Chem, Phys Chem Lab, POB 513, NL-5600 MD Eindhoven, Netherlands
[4] Inst Bioengn Catalonia IBEC, Nanoscopy Nanomed Grp, C Baldiri Reixac 15-21, Barcelona 08028, Spain
关键词
SUPERRESOLUTION; MICROSCOPY; NANOBUBBLES; DIMENSIONS; BINDING; SPHERES;
D O I
10.1039/c6nr00445h
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Understanding interfacial phenomena in soft materials such as wetting, colloidal stability, coalescence, and friction warrants non-invasive imaging with nanometer resolution. Super-resolution microscopy has emerged as an attractive method to visualize nanostructures labeled covalently with fluorescent tags, but this is not amenable to all interfaces. Inspired by PAINT we developed a simple and general strategy to overcome this limitation, which we coin 'iPAINT: interface Point Accumulation for Imaging in Nanoscale Topography'. It enables three-dimensional, sub-diffraction imaging of interfaces irrespective of their nature via reversible adsorption of polymer chains end-functionalized with photo-activatable moieties. We visualized model dispersions, emulsions, and foams with similar to 20 nm and similar to 3 degrees accuracy demonstrating the general applicability of iPAINT to study solid/liquid, liquid/liquid and liquid/air interfaces. iPAINT thus broadens the scope of super-resolution microscopy paving the way for non-invasive, high-resolution imaging of complex soft materials.
引用
收藏
页码:8712 / 8716
页数:5
相关论文
共 50 条
  • [31] STATISTICALLY TAILORED NEURAL-NETWORK APPROACH TO TOMOGRAPHIC IMAGE-RECONSTRUCTION
    KERR, JP
    BARTLETT, EB
    MEDICAL PHYSICS, 1995, 22 (05) : 601 - 610
  • [32] An Approach of Image Retrieval for Natural Scenes based on Local Features and Topology
    Yang, Jun
    PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13), 2013, 84 : 910 - 917
  • [33] Superpixel Approach in High Resolution Histopathological Image Segmentation
    Albayrak, Abdulkadir
    Bilgin, Gokhan
    2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
  • [34] A Curriculum Learning Approach for Single Image Super Resolution
    Zhang Y.-F.
    Liu Y.
    Jiang C.
    Cheng X.
    Zidonghua Xuebao/Acta Automatica Sinica, 2020, 46 (02): : 274 - 282
  • [35] A Progressive Approach for Single Image Super-Resolution
    Liang, Yongbo
    Cao, Guo
    Li, Xuesong
    FOURTH INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION, 2019, 11198
  • [36] A LOCAL APPROACH TO RESOLUTION ANALYSIS OF IMAGE RECONSTRUCTION IN TOMOGRAPHY
    Katsevich, Alexander
    SIAM JOURNAL ON APPLIED MATHEMATICS, 2017, 77 (05) : 1706 - 1732
  • [37] A Novel Approach for Biomedical Web Image Super Resolution
    Joy, Helen K.
    Das, Sreejth L.
    PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2013), 2013, : 876 - 879
  • [38] A multirate approach to high-resolution image reconstruction
    Scrofani, JW
    Therrien, CW
    SEVENTH IASTED INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, 2005, : 538 - 542
  • [39] SINGLE APPROACH TO EVALUATING THE SENSITIVITY AND RESOLUTION OF IMAGE DETECTORS
    BONSHTEDT, BE
    GOGOLEV, YA
    SOVIET JOURNAL OF OPTICAL TECHNOLOGY, 1991, 58 (11): : 704 - 706
  • [40] A novel approach to radiographic image resolution gauge fabrication
    Trivelpiece, C. L.
    Babcox, B. L.
    Brenizer, J. S., Jr.
    Wolfe, D. E.
    Adair, J. H.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2011, 646 (01): : 135 - 141