Medical Imaging

Modified characteriograph-assisted testings of spectrozonal analog lab-on-a-chip under laser beams

 

Acknowledgements:

  • “Development of the novel physical methods for complex biomedical diagnostics based on position-sensitive mapping with the angular resolution at the tissue and cellular levels using analytical labs-on-a-chip” (RFBR grant # 16-32-00914) [6 838,27 $ per year; 2016-2017];
  • “Lab-on-a-chip development for personalized diagnostics” (FASIE grant 0019125) [3 039,00 $ per year; 2016-2017].
  • Image Fusion
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Nasirov P.A., Gradov O.V.

    LF-module-assisted analog lab-on-a-chip measurements with R- (650 nm), G- (532 nm), B- (405 nm) laser sources

     

    00:59 - Wavelenth: 650 nm (laser diode);

    01:25 - Wavelenth: 405 nm (DPSSL);

    01:43 - Wavelenth: 532 nm (DPSSSL);

     

    Acknowledgements:

  • Image Fusion
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Nasirov P.A., Gradov O.V.

    Testings of spectrozonal analog lab-on-a-chip with angle-sensitive pixels (ASP) using diode laser sources in combined nanosecond reflectometric and stroboscopic oscilloscopic measurements.

     

    FILE 1: Combined nanosecond reflectometric and stroboscopic oscilloscopic analysis for RF lab-on-a-chip.mp4

    00:15 - Wavelength: 405 nm (DPSS);

    00:57 - Wavelength: 650 nm (laser diode source);

     

    FILE 2: Analog angle-sensitive pixel lab-on-a-chip testing using nanosecond stroboscopic oscilloscope.mp4

    00:20 - Zero Point Calibration (ZPC);

  • Image Fusion
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Nasirov P.A., Gradov O.V.

    In this study, adaptive hybrid (AH) scheme is proposed to enhance the measurement accuracy of conventional CD method to acquire the 2-dimensional velocity field of blood flows. It can offer the assistance of the velocity field information measured preliminarily using ultrasound speckle image velocimetry (SIV) technique. Consequently, erroneous vectors in the CD results were replaced with the SIV results. The performance of the proposed AH method was validated by varying flow rate and insonation angle. We compared the AH method with the CD and SIV methods in an agarose vessel model.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Jun Hong Park

    Background: Retinopathy of prematurity (ROP) is one of the main causes of childhood blindness. However, insufficient ophthalmologists are qualified for ROP screening.
    Objective: To evaluate the performance of a deep neural network (DNN) for automated screening of ROP.

  • Medical Imaging
  • Last Updated On: 
    Fri, 11/09/2018 - 10:23
    Citation Author(s): 
    Yinsheng Zhang

    A sample of synthetic noise-free reference image created by combining multiple instances of structurally preserved cilia cross-sections. 

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Amit Suveer, Hrushikesh Garud, Anca Dragomir, Ida-Maria Sintorn

    This dataset is for the paper titled: Segmentation of Cervical Cell Images based on Generative Adversarial Networks. The dataset is used to train and test the Cell-GAN, a generative adversarial network. After training, the Cell-GAN is able to generate a complete single-cell image which has the similar contour to the cell to be segmented.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Biao Li

    Four cases of colposcopy data, which are Normal, CIN1, CIN2/3, Cervical Cancer respectively. (a) Sequential images photographed after applying acetic acid to the cervix uteri epithelium. (b) Image photographed after using green lens. (c) Image photographed applying compound iodine solution.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Zijie Yue, Shuai Ding, Weidong Zhao, Jie Ma

    For the development and evaluation of organ localization methods, we build a set of annotations of organ bounding boxes based on the MICCAI Liver Tumor Segmentation (LiTS) challenge dataset. Bounding boxes of 11 body organs are included:  heart (53/28), left lung (52/21), right lung (52/21), liver (131/70), spleen (131/70), pancreas (131/70), left kidney (129/70), right kidney (131/69), bladder (109/67), left femoral head (109/66) and right femoral head (105/66). The number in the parentheses indicates the number of the organs annotated in training and testing sets.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Mon, 04/15/2019 - 03:09
    Citation Author(s): 
    Xuanang Xu, Bo Liu, Fugen Zhou

    We make our dataset publicly avaiable. It consists of 50 H&E stained histopathology annotated images at the nuclei level. This dataset is ideal for those who want an exhaustive annotation of H&E breast cancer patient from a Tripple Negative Breast Cancer cohort.

  • Medical Imaging
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Naylor Peter; Laé Marick; Reyal Fabien; Walter Thomas;

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