The Experts below are selected from a list of 23028 Experts worldwide ranked by ideXlab platform

López-gonzález, Pablo J. - One of the best experts on this subject based on the ideXlab platform.

Bingmei M. Fu - One of the best experts on this subject based on the ideXlab platform.

  • Automatic Quantification of Endothelial Nitric Oxide Levels in a Microvessel with and without Tumor Cell Adhesion
    International Journal of Image and Graphics, 2018
    Co-Authors: Lin Zhang, Bingmei M. Fu
    Abstract:

    Elevated nitric oxide (NO) and endothelial nitric oxide synthase (eNOS) have been observed in cancer patients in malignancy state. We hypothesize that the higher NO production in the microvessels of these patients attracts more tumor cells (TCs) to adhere and accomplish their metastases. Since there are tens to hundreds of endothelial cells (ECs) forming on the microvessel walls, it is unsustainable to let human operators measure NO intensity levels by correlating TC maps with a multitude of Microphotographs via manual labor and eyeballing. To achieve effective and scalable quantifications, we developed an automatic algorithm to quantify NO intensity for Microphotographs taken from the experiments. Taking account of the special visual and geometric properties of microvessels in the study, the first step performs a novel Markov integrated dynamic programming procedure to single out the microvessel from the microphotograph. The next step applies image processing and morphological operations to identify ECs ...

  • Automatic Quantification of Endothelial Nitric Oxide Levels in a Microvessel with and without Tumor Cell Adhesion
    International Journal of Image and Graphics, 2018
    Co-Authors: Lin Zhang, Bingmei M. Fu
    Abstract:

    Elevated nitric oxide (NO) and endothelial nitric oxide synthase (eNOS) have been observed in cancer patients in malignancy state. We hypothesize that the higher NO production in the microvessels of these patients attracts more tumor cells (TCs) to adhere and accomplish their metastases. Since there are tens to hundreds of endothelial cells (ECs) forming on the microvessel walls, it is unsustainable to let human operators measure NO intensity levels by correlating TC maps with a multitude of Microphotographs via manual labor and eyeballing. To achieve effective and scalable quantifications, we developed an automatic algorithm to quantify NO intensity for Microphotographs taken from the experiments. Taking account of the special visual and geometric properties of microvessels in the study, the first step performs a novel Markov integrated dynamic programming procedure to single out the microvessel from the microphotograph. The next step applies image processing and morphological operations to identify ECs and TCs on the microvessel detected from the prior step. Finally, a normalized cross-correlation procedure is applied to register the TC map to the microvessel and evaluate the NO ratios in the ECs with and without TC adhesions. With a processing time reduced from hours to seconds, this algorithm evaluates NO ratios exceedingly similar to those by human operators.

Altuna Álvaro - One of the best experts on this subject based on the ideXlab platform.

Oliver Brendel - One of the best experts on this subject based on the ideXlab platform.

  • Automatic measurement of stomatal density from Microphotographs
    Trees-structure and Function, 2014
    Co-Authors: Silvere Vialet-chabrand, Oliver Brendel
    Abstract:

    Key message An automated process using a cascade classifier allowed the rapid assessment of the density and distribution of stomata on Microphotographs from leaves of two oak species.

  • Automatic measurement of stomatal density from Microphotographs
    Trees - Structure and Function, 2014
    Co-Authors: Silvere Vialet-chabrand, Oliver Brendel
    Abstract:

    Key message: An automated process using a cascade classifier allowed the rapid assessment of the density and distribution of stomata on Microphotographs from leaves of two oak species. [br/] Abstract : Stomatal density is the number of stomata per unit area, an intensively studied trait, involved in the control of CO2 and H2O exchange between leaf and atmosphere. This trait is usually estimated by counting manually each stoma on a given surface (e.g., a microphotograph), usually repeating the procedure with images from different parts of the leaf. To improve this procedure, we tested the performance of a cascade classifier to automatically detect stomata on Microphotographs from two oak species: Quercus afares Pomel and Quercus suber L. The two species are phylogenetically close with similar stomatal morphology, which allowed testing the reuse of the cascade classifier on stomata with similar shape. The results showed that a cascade classifier trained on only 100 sample views of stomata from Q. afares was able to rapidly detect stomata in Q. afares as well as in Q. suber with a very low number of false positives (5 %/1.9 %) and a small number of undetected stomata (14.8 %/0.74 %), when partial stomata near the edge of the Microphotographs were ignored. The remaining undetected stomata were due to obstacles such as trichomes. As an example of further applications, we used the positions detected by the cascade classifier to assess the spatial distribution of stomata and group them on the leaf surface. To our knowledge this is the first time that a cascade classifier has been applied to plant Microphotographs, and we were able to show that it can dramatically decrease the time needed to estimate stomatal density and spatial distribution.

Pranab Dey - One of the best experts on this subject based on the ideXlab platform.

  • Pathology of Endometrium: Benign Lesions, Preneoplastic Lesions and Carcinomas
    Color Atlas of Female Genital Tract Pathology, 2018
    Co-Authors: Pranab Dey
    Abstract:

    In this chapter the salient features of various benign lesions, preneoplastic lesions and different carcinomas of uterus are discussed along with Microphotographs. Both the gross and microscopic figures are included to describe the lesions. In addition to gross figures, the Microphotographs of cytology and immunohistochemistry of these lesions are also provided.

  • Pathology of Placenta
    Color Atlas of Female Genital Tract Pathology, 2018
    Co-Authors: Pranab Dey
    Abstract:

    In this chapter various abnormalities of the placenta are discussed with illustrations such as abnormal adherence of placenta, infections, maternal and fetal circulatory disorders, and tumours of placenta. The gross abnormalities, histopathology features along with clinical significance of these lesions are mentioned with Microphotographs.

  • Pathology of Mesenchymal and Other Miscellaneous Tumours of Uterine Corpus
    Color Atlas of Female Genital Tract Pathology, 2018
    Co-Authors: Pranab Dey
    Abstract:

    In this chapter mesenchymal tumours, mixed epithelial-mesenchymal tumours, lymphomas and other miscellaneous tumours of the uterine body have been described with large number of gross and Microphotographs. The incidence, clinical features, salient histopathological features, immunohistochemistry, differential diagnosis and prognosis with treatment are described.

  • Pathology of Ovary: Sex Cord Tumours
    Color Atlas of Female Genital Tract Pathology, 2018
    Co-Authors: Pranab Dey
    Abstract:

    This chapter provides illustrations and descriptions of pure sex cord tumours, pure stromal tumours and mixed sex cord stromal tumours of ovary. In addition to the gross and Microphotographs of these tumours, the salient clinical, gross, immunohistochemistry and molecular pathology of these tumours are also described.