Highly effective techniques in computerized dental tissue morphometry

Căruntu, Irina-Draga

doi:10.1111/j.1582-4934.2002.tb00461.x

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Accordingly, Schuh et al25 and Xavier et al12 recently observed that grit blasting with Al 2 O 3 particles resulted in rough Ti surfaces contaminated with Al 2 O 3 . In the present study, we quantified Al 2 O 3 residues using Zeiss KS400, a software based on mathematical operations capable of modifying the values of the image pixels to be analyzed by the computer 13, 26, 27. We observed that sand blasting procedure produced a surface with higher roughness and Al 2 O 3 residues occupying an average area of 9.72% of these surfaces.…”

Section: Discussionmentioning

confidence: 99%

High concentration of residual aluminum oxide on titanium surface inhibits extracellular matrix mineralization

Canabarro

Diniz

Paciornik

et al. 2008

J Biomedical Materials Res

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In the present study we characterized titanium (Ti) surfaces submitted to different treatments and evaluated the response of osteoblasts derived from human alveolar bone to these surfaces. Five different surfaces were evaluated: ground (G), ground and chemical etched (G1-HF for 60 s), sand blasted (SB-Al(2)O(3) particles 65 mum), sand blasted and chemical etched (SLA1-HF for 60 s and SLA2-HF for 13 s). Surface morphology was evaluated under SEM and roughness parameters by contact scanning instrument. The presence of Al(2)O(3) was detected by EDS and the amount calculated by digital analyses. Osteoblasts were cultured on these surfaces and it was evaluated: cell adhesion, proliferation, and viability, alkaline phosphatase activity, total protein content, and matrix mineralization formation. Physical and chemical treatments produced very different surface morphologies. Al(2)O(3) residues were detected on SB and SLA2 surfaces. Only matrix mineralization formation was affected by different surface treatments, being increased on rough surface (SLA1) and reduced on surface with high amount of Al(2)O(3) residues (SB). On the basis of these findings, it is possible to conclude that high concentration of residual Al(2)O(3) negatively interfere with the process of matrix mineralization formation in contact with Ti implant surfaces.

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Section: Discussionmentioning

confidence: 99%

High concentration of residual aluminum oxide on titanium surface inhibits extracellular matrix mineralization

Canabarro

Diniz

Paciornik

et al. 2008

J Biomedical Materials Res

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“…They also served for computing the nucleo-cytoplasmic ratio (CNA j /CCA j ) of each cell. Our technique for image processing was derived from the key principles in quantitative morphological analysis of cells proposed in our previous work [18].…”

Section: Resultsmentioning

confidence: 99%

“…Towards this end, we considered three types of cells, as follows: normal -resembling the superficial cells in the cervical smears (in the remainder of the text referred to as superficial cells), normalresembling the intermediate cells in the cervical smears (in the remainder of the text referred to as intermediate cells) and tumoral. In the first part of the study we extracted the individual morphometric features of 1500 cells, for each cell j measuring the cytoplasmic area CCA j and nuclear area CNA j , respectively, by applying a technique adapted from our previous work [18]. Starting from this numeric information we noted that the measured cells could be linearly separated in two classes, normal and tumoral.…”

Section: Introductionmentioning

confidence: 99%

Computerized morphometric discrimination between normal and tumoral cells in oral smears

Căruntu¹,

Scutariu²,

Dobrescu

2005

J Cellular Mol Med

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The oral exfoliative cytology allows a quick and fairly accurate assessment of suspicious lesions of the oral cavity. Within this context, our paper proposes a quantitative approach, focusing on the construction of a classifier for detecting the presence of the tumoral cells on oral smears. The design of the classifier relies on a detailed computerized analysis of the individual morphometric features exhibited by two large known populations of normal and tumoral cells, respectively; the digital image processing was performed in the Zeiss KS400 environment. The classifier was implemented as a neural network with step activation function, whose parameters were obtained from an adequate training, based on the nuclear and cytoplasmic areas of the cells belonging to the two populations. Our procedure based on this classifier was meant to operate by identifying the tumoral or normal nature of any cell randomly selected from a smear. To identify the nature of an arbitrary cell, its nuclear and cytoplasmic areas are presented at the input of the classifier. The classification procedure was tested on several smears, and the results coincided with the pathological diagnosis in all the considered cases. The performances of our approach are discussed in comparison with other analytical methods previously reported in oral exfoliative cytology. These discussions emphasize the role of numerical information exploited for the classifier design, concluding that the individual morphometric features are more meaningful than the global characterization of smears by mean values.

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“…The approach proposed in this work for the analysis of evolving fibroblasts is founded on our experience in computerized morphometry [ 34 , 35 ]. The technique used [ 35 ] has been considerably improved in order to process large sets of digital images in relatively short time intervals.…”

Section: Discussionmentioning

confidence: 99%

Morphometric Approach to Pulp Fibroblast Development in Tooth Germ

Căruntu

Săvinescu

Amălinei

2014

BioMed Research International

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This paper builds a morphometric framework for the analysis of dental pulp fibroblast evolution during tooth development. We investigated 15 tooth germs (cases) organized, by histological criteria, in three groups corresponding to cap, early bell, and late bell stages, respectively. Each group comprised five cases. The morphometric description used the following parameters: area (A), perimeter (P)—automatically extracted by a color segmentation technique, and form factor (FF)—calculated as 4πA/P 2. The designed framework operated at inter- and intragroup levels. The intergroup analysis quantified the differences between groups, in the sense of a relative distance (RD) adequately defined by mean-value scaling. We showed that the stage of early bell is approximately 5 times closer to late bell than to cap. The quantification procedure required concomitant information about A, P parameters (as P versus A dependences, or FF values), whereas the procedure failed for A or P separately used. The intragroup analysis quantified the similarity of the cases belonging to the same stage. We proved that, unlike the intergroup tests, the individual exploitation of all three descriptors A, P, and FF is effective, yielding highly compatible results. Within any group, most cases presented RDs less than 10% from the group mean value, regardless of the descriptor type.

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Highly effective techniques in computerized dental tissue morphometry

Cited by 5 publications

References 7 publications

High concentration of residual aluminum oxide on titanium surface inhibits extracellular matrix mineralization

High concentration of residual aluminum oxide on titanium surface inhibits extracellular matrix mineralization

Computerized morphometric discrimination between normal and tumoral cells in oral smears

Morphometric Approach to Pulp Fibroblast Development in Tooth Germ

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