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  • Creator(s):
    Varun Mannam
    Description:

    We created a small dataset - the diffraction limited to super-resolution (DL2SR) dataset - that is dedicated to estimate the super-resolution intensity from a diffracton limited fluorescence microscopy intensity images. The dataset consists of training and testing parts. 15 FOV’s of BPAE cells fluorescence microscopy intensity images obtained with custom-built two-photon microscope. We use 1 FOV DL images for testing. These images are captured with excitation wavelength of 800 nm and powe…

    Date Created:
    2021-02-09
    Record Visibility:
    Public
  • Author(s):
    John (Zheng) Wang, Donald Brower, Mark Dehmlow, Anastasia (Nastia) Guimaraes, Melissa Harden, Helen Hockx-Yu, Daniel Johnson, Christina Leblang, Rebecca Leneway, Laurie McGowan, Eric Lease Morgan, Alex Papson
    Abstract:

    In August of 2018, the Institute of Museum and Library Services (IMLS) awarded a National Leadership/Planning grant to the University of Notre Dame to investigate the national need for library based topic modelling tools in support of cross-disciplinary discovery systems. The grant would enable our project team to conduct a series of workshops where we could bring together communities of expertise (computer scientists, librarians, disciplinary scholars) from diverse organizations (large and s…

    Date Created:
    2020-12-01
    Record Visibility:
    Public
    Resource Type
    Report
  • Creator(s):
    Varun Mannam
    Description:

    We created a small dataset to validate the lifetime denoising using the trained Noise2Noise-NBN model - the Fluorescence Microscopy Lifetime Denoising (FMLD) dataset - that is dedicated to perform the lifetime denoising from the noisy (raw) lifetime images.

    The dataset consists of 50 real fluorescence microscopy images obtained with custom-built two-photon microscope and representative fixed BPAE cell (F36924) samples. We use all 50 images for testing/inference. These images are captured wi…

    Date Created:
    2020-01-01
    Record Visibility:
    Public
  • Creator(s):
    Varun Mannam
    Description:

    We created a dataset - the Lifetime From Intensity (LFI) dataset - that is dedicated to estimate the lifetime from intensity images. The dataset consists of 156 real fluorescence microscopy images obtained with custom-built two-photon microscope and representative biological zebrafish samples. We use 140 images for training and 16 images for testing. These images are captured with 2 different excitation wavelengths (800 and 920 nm) and different power levels (5 mW and 8 mW).

    Date Created:
    2019-08-13
    Record Visibility:
    Public
  • Creator(s):
    Varun Mannam, Yide Zhang, Yinhao Zhu, Scott Howard
    Description:

    We created a dataset - the Fluorescence Microscopy Denoising (FMD) dataset - that is dedicated to Poisson-Gaussian denoising. The dataset consists of 12,000 real fluorescence microscopy images obtained with commercial confocal, two-photon, and wide-field microscopes and representative biological samples such as BPAE cells, zebrafish, and mouse brain tissues. We use image averaging to effectively obtain ground truth images and 60,000 noisy images with different noise levels.

    Date Created:
    2019-04-21
    Record Visibility:
    Public
  • Author(s):
    Matthew Sisk, Lacey Ahern, Heidi Beidinger, Danielle LaFleur, Michelle Ngai
    Abstract:

    Lead exposure in SJC continues to be a persistent, complex public health issue. Data released in December 2016 showed that census tract 6 in South Bend had the highest rates of EBLL in the state of Indiana. Because lead exposure can produce significant cognitive and physiological damage even at very low levels of exposure, immediate action was required. Understanding what the epidemiologic profile of lead in SJC was among the first steps taken to address this issue. The St. Joseph Coun…

    Date Published:
    2017-07
    Record Visibility:
    Public