Quantifying the architectural complexity of microscopic images of histology specimens

Tambasco, Mauro; Costello, Bridget M.; Kouznetsov, A.; Yau, Annie; Magliocco, Anthony M.

doi:10.1016/j.micron.2008.12.004

Cited by 56 publications

(57 citation statements)

References 18 publications

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“…The degree of brightness at which the images are obtained could possibly be in a bias, since it is virtually impossible to get all the slides with the same degree, but in this same study Tambasco et al [16] was found there was no influence on the maximum fractal dimension obtained.…”

Section: Discussionmentioning

confidence: 59%

“…Tambasco et al [16] (Gleason 8 to 10 ). For each case, they prepared two blades, one being stained with hematoxylin-eosin and the other with Pan-keratin, which stains specifically epithelial structures.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, it could also act as a screening method, identifying tumors of low and intermediate grades in high volume centers of motion, rationalizing the time spent by pathologists in the research areas of compromised tissue [16].…”

Section: Discussionmentioning

confidence: 99%

“…It is known that the pixel size depends on the degree of resolution used. As Tambasco et al [16] stated, the size of the box used should have certain relation to the structure studied, because it can be so small that, in fact, there would be assessed the sub-components of the structure or so large that, in fact, there would be included in the measurement of components of structure area but not the structure of interest. These values, however, are the default values used in the literature and therefore probably not caused interference in the results.…”

Section: Discussionmentioning

confidence: 99%

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Dimensão fractal na quantificação do grau de rejeição celular miocárdica pós-transplante cardíaco

Moreira¹,

Moriel²,

Murta³

et al. 2011

Rev Bras Cir Cardiovasc

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Section: Discussionmentioning

confidence: 59%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Dimensão fractal na quantificação do grau de rejeição celular miocárdica pós-transplante cardíaco

Moreira¹,

Moriel²,

Murta³

et al. 2011

Rev Bras Cir Cardiovasc

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“…It is widely used in several different areas of biological and medical sciences, such as neuroscience [8][9][10][11], histological diagnosis and quantification of neoplasms [12][13][14][15], blood vessels changes [16,17], assessment of cell aging [18] and many others. New methods and modifications of fractal analysis are also being discovered [19], thus allowing this mathematical method to be applied in different areas of natural sciences.…”

Section: Introductionmentioning

confidence: 99%

Fractal and gray level co-occurrence matrix texture analysis of senescent and non-senescent deciduous teeth stem cells: A pilot study

Zaletel¹,

Milošević²,

Todorovic³

et al. 2016

Fractal Geometry and Nonlinear Anal in Med and Biol

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All cells in the human organism, including stem cells, have a limited lifespan and cease to divide after a certain number of divisions. The process of cellular senescence refers to incapability to progress through the cell cycle, thus leading the cell to an irreversible growth arrest. One of the most common biomarkers of cell senescence is senescence-associated β-galactosidase (SA-β-Gal/SABG), a lysosomal enzyme detectable at pH = 6.0. However, the proper identification of senescent cells is still insufficient and lacks adequate quantification parameters. In this paper we showed that fractal and gray level co-occurrence matrix (GLCM) texture analysis of cell nuclei are able to discriminate senescent from non-senescent cells. A total of 105 images of DTSCs nuclei from both SA-β-Gal+ and SA-β-Gal-cells were used in this study. All of the computed parameters (fractal dimension, angular second moment, inverse difference moment, contrast, entropy and correlation) showed significant statistical difference between the nuclei of senescent and non-senescent stem cells (p < 0.001). Our results show the possible practical value of fractal and GLCM texture analysis as the new markers in the determination and quantification of DTSCs senescence.

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Fractal dimension and Shannon's entropy analyses of the architectural complexity caused by the inflammatory reactions induced by highly crystalline poly(vinyl alcohol) microspheres implanted in subcutaneous tissues of the Wistar rats

Silva

Basso

Semenzim

et al. 2012

J Biomedical Materials Res

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The results of the histopathological analyses after the implantation of highly crystalline PVA microspheres in subcutaneous tissues of Wistar rats are here in reported. Three different groups of PVA microparticles were systematically studied: highly crystalline, amorphous, and commercial ones. In addition to these experiments, complementary analyses of architectural complexity were performed using fractal dimension (FD), and Shannon's entropy (SE) concepts. The highly crystalline microspheres induced inflammatory reactions similar to the ones observed for the commercial ones, while the inflammatory reactions caused by the amorphous ones were less intense. Statistical analyses of the subcutaneous tissues of Wistar rats implanted with the highly crystalline microspheres resulted in FD and SE values significantly higher than the statistical parameters observed for the amorphous ones. The FD and SE parameters obtained for the subcutaneous tissues of Wistar rats implanted with crystalline and commercial microparticles were statistically similar. Briefly, the results indicated that the new highly crystalline microspheres had biocompatible behavior comparable to the commercial ones. In addition, statistical tools such as FD and SE analyses when combined with histopathological analyses can be useful tools to investigate the architectural complexity tissues caused by complex inflammatory reactions.

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Quantifying the architectural complexity of microscopic images of histology specimens

Cited by 56 publications

References 18 publications

Dimensão fractal na quantificação do grau de rejeição celular miocárdica pós-transplante cardíaco

Dimensão fractal na quantificação do grau de rejeição celular miocárdica pós-transplante cardíaco

Fractal and gray level co-occurrence matrix texture analysis of senescent and non-senescent deciduous teeth stem cells: A pilot study

Fractal dimension and Shannon's entropy analyses of the architectural complexity caused by the inflammatory reactions induced by highly crystalline poly(vinyl alcohol) microspheres implanted in subcutaneous tissues of the Wistar rats

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