Literature DB >> 11215629

Scaling-index method as an image processing tool in scanning-probe microscopy.

F Jamitzky1, R W Stark, W Bunk, S Thalhammer, C Rath, T Aschenbrenner, G E Morfill, W M Heckl.   

Abstract

The scaling-index method (SIM) is a novel tool for image processing in scanning-probe microscopy. Originating from the theory of complex systems, the SIM can be used in order to extract structural information from arbitrary data sets. This method can readily be applied to the analysis of digital atomic-force microscopy (AFM) images. Especially for biomedical diagnostics, where genetic material is investigated by various microscopic methods, a reliable image segmentation based on the SIM algorithm is helpful. As a first application, AFM-images of GTG-banded human metaphase chromosomes (with G bands obtained by Trypsin using Giemsa) are compared with micrographs from conventional light microscopy by means of a scaling-index analysis. While the grey-level distributions of the optical and the AFM-images are largely different from each other, the scaling-index images are remarkably similar. Using this method, a fingerprint of an image can be produced which helps in the classification and interpretation of the measured data.

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Year:  2001        PMID: 11215629     DOI: 10.1016/s0304-3991(00)00111-x

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  13 in total

1.  Trabecular bone structure analysis in the osteoporotic spine using a clinical in vivo setup for 64-slice MDCT imaging: comparison to microCT imaging and microFE modeling.

Authors:  Ahi S Issever; Thomas M Link; Marie Kentenich; Patrik Rogalla; Karsten Schwieger; Markus B Huber; Andrew J Burghardt; Sharmila Majumdar; Gerd Diederichs
Journal:  J Bone Miner Res       Date:  2009-09       Impact factor: 6.741

2.  Computer-aided diagnosis for phase-contrast X-ray computed tomography: quantitative characterization of human patellar cartilage with high-dimensional geometric features.

Authors:  Mahesh B Nagarajan; Paola Coan; Markus B Huber; Paul C Diemoz; Christian Glaser; Axel Wismüller
Journal:  J Digit Imaging       Date:  2014-02       Impact factor: 4.056

3.  Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.

Authors:  Chien-Chun Yang; Mahesh B Nagarajan; Markus B Huber; Julio Carballido-Gamio; Jan S Bauer; Thomas Baum; Felix Eckstein; Eva Lochmüller; Sharmila Majumdar; Thomas M Link; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03

4.  Characterizing healthy and osteoarthritic knee cartilage on phase contrast CT with geometric texture features.

Authors:  Mahesh B Nagarajan; Paola Coan; Markus B Huber; Paul C Diemoz; Christian Glaser; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-29

5.  Characterizing Trabecular Bone structure for Assessing Vertebral Fracture Risk on Volumetric Quantitative Computed Tomography.

Authors:  Mahesh B Nagarajan; Walter A Checefsky; Anas Z Abidin; Halley Tsai; Xixi Wang; Susan K Hobbs; Jan S Bauer; Thomas Baum; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015-03-17

6.  Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure.

Authors:  Walter A Checefsky; Anas Z Abidin; Mahesh B Nagarajan; Jan S Bauer; Thomas Baum; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-24

7.  Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression.

Authors:  Chien-Chun Yang; Mahesh B Nagarajan; Markus B Huber; Julio Carballido-Gamio; Jan S Bauer; Thomas Baum; Felix Eckstein; Eva Lochmüller; Sharmila Majumdar; Thomas M Link; Axel Wismüller
Journal:  J Electron Imaging       Date:  2014-01-09       Impact factor: 0.945

8.  Volumetric quantitative characterization of human patellar cartilage with topological and geometrical features on phase-contrast X-ray computed tomography.

Authors:  Mahesh B Nagarajan; Paola Coan; Markus B Huber; Paul C Diemoz; Axel Wismüller
Journal:  Med Biol Eng Comput       Date:  2015-07-04       Impact factor: 2.602

9.  Phase contrast imaging X-ray computed tomography: Quantitative characterization of human patellar cartilage matrix with topological and geometrical features.

Authors:  Mahesh B Nagarajan; Paola Coan; Markus B Huber; Paul C Diemoz; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-13

10.  The 3D-based scaling index algorithm: a new structure measure to analyze trabecular bone architecture in high-resolution MR images in vivo.

Authors:  D Mueller; T M Link; R Monetti; J Bauer; H Boehm; V Seifert-Klauss; E J Rummeny; G E Morfill; C Raeth
Journal:  Osteoporos Int       Date:  2006-07-18       Impact factor: 4.507

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