Automatic TEM Image Analysis of Membranes for 2D Crystal Detection

被引：4

作者：

Karathanou, Argyro ^{[1
]}

Coudray, Nicolas ^{[1
]}

Hermann, Gilles ^{[1
]}

Buessler, Jean-Luc ^{[1
]}

Urban, Jean-Philippe ^{[1
]}

机构：

[1] Univ Haute Alsace, MIPS, Mulhouse, France

来源：

ADVANCES IN COMPUTATIONAL BIOLOGY | 2010年 / 680卷

关键词：

Image processing; Automated TEM; Image segmentation; Sample characterization; 2-DIMENSIONAL CRYSTALS; PROTEINS;

D O I：

10.1007/978-1-4419-5913-3_37

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

TEM image processing tools are devised for the assessment of 2D-crystallization experiments. The algorithms search for the presence and assess the quality of crystalline membranes. The retained scenario emulates the decisions of a microscopist in selecting targets and assessing the sample. Crystallinity is automatically assessed through the diffraction patterns of high magnification images acquired on pertinent regions selected at lower magnifications. Further algorithms have been developed for membrane characterization. Tests on images of different samples, acquired on different microscopes led to good results.

引用

页码：327 / 333

页数：7

共 50 条

[1] Geometric 2D image analysis for automatic visual inspection
Liu, Y
Rodrigues, MA
[J]. SEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND ITS APPLICATIONS, 1999, (465): : 656 - 660
[2] CRYSTAL IMAGE ANALYSIS USING 2D SYNCHROSQUEEZED TRANSFORMS
Yang, Haizhao
Lu, Jianfeng
Ying, Lexing
[J]. MULTISCALE MODELING & SIMULATION, 2015, 13 (04): : 1542 - 1572
[3] Automatic Adaptation of Image Analysis Models for 2D Landscape Objects to a Coarser Image Resolution
Heuwold, Janet
Pakzad, Kian
Heipke, Christian
[J]. PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION, 2008, (03): : 197 - 206
[4] 2D photonic crystal membranes for optical biosensors
Zecca, D.
Magno, G.
Grande, M.
Petruzzelli, V.
D'Orazio, A.
Qualtieri, A.
Stomeo, T.
Prieto-Simon, B.
Voelcker, N. H.
De Vittorio, M.
[J]. 2014 FOTONICA AEIT ITALIAN CONFERENCE ON PHOTONICS TECHNOLOGIES, 2014,
[5] Detection and characterization of junctions in a 2D image
Bergevin, R
Bubel, A
[J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2004, 93 (03) : 288 - 309
[6] 2D image population analysis
Duroure, C.
Larsen, H. R.
Isaka, H.
Personne, P.
[J]. ATMOSPHERIC RESEARCH, 1994, 34 (1-4) : 195 - 205
[7] Automatic Shadow Detection in 2D Ultrasound Images
Meng, Qingjie
Baumgartner, Christian
Sinclair, Matthew
Housden, James
Rajchl, Martin
Gomez, Alberto
Hou, Benjamin
Toussaint, Nicolas
Zimmer, Veronika
Tan, Jeremy
Matthew, Jacqueline
Rueckert, Daniel
Schnabel, Julia
Kainz, Bernhard
[J]. DATA DRIVEN TREATMENT RESPONSE ASSESSMENT AND PRETERM, PERINATAL, AND PAEDIATRIC IMAGE ANALYSIS, 2018, 11076 : 66 - 75
[8] Automatic Constraint Detection for 2D Layout Regularization
Jiang, Haiyong
Nan, Liangliang
Yan, Dong-Ming
Dong, Weiming
Zhang, Xiaopeng
Wonka, Peter
[J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2016, 22 (08) : 1933 - 1944
[9] Fault Detection in Automatic Manufacturing Processes via 2D Image Analysis Using a Combined CNN-LSTM Model
Yu, Na Hyeon
Baek, Sujeong
[J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SMART MANUFACTURING AND LOGISTICS SYSTEMS: TURNING IDEAS INTO ACTION, APMS 2022, PT I, 2022, 663 : 11 - 18
[10] Combining 2D synchrosqueezed wave packet transform with optimization for crystal image analysis
Lu, Jianfeng
Wirth, Benedikt
Yang, Haizhao
[J]. JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2016, 89 : 194 - 210

← 1 2 3 4 5 →