Data from: In vivo spectroscopy to concurrently characterize five metabolic and vascular endpoints relevant to aggressive breast cancer

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  • This data repository contains the following:

    - Data to re-create Figs 1 and 2 in a folder titled "Raw Data Figure 1 and 2". These values were collected via optical spectroscopy of scattering phantoms and extracted using an inverse Monte Carlo algorithm. These files are .mat files
    - Data to re-create Fig 3 in a folder titled "Raw Data Figure 3". These values were collected via optical spectroscopy of scattering phantoms and extracted using an inverse Monte Carlo algorithm.These files are .mat files
    - Values to recreate Fig 4 in a folder titled "Minimum Data Set Figure 4". These values were collected via optical spectroscopy of tissue mimicking phantoms, and extracted using an inverse Monte Carlo algorithm. Values are found in .txt files
    - Data to re-create Fig 5 in a folder titled "Raw Data Figure 5". These values were collected via optical spectroscopy of BALB/c mice, either of tumor- bearing or healthy mammary tissue and extracted using an inverse Monte Carlo algorithm. These files are .mat files
    - Values to recreate Fig 6 in a folder titled "Minimum Data Set Figure 6". These values were collected via optical spectroscopy of BALB/c mice, either of tumor- bearing or healthy mammary tissue, and extracted using an inverse Monte Carlo algorithm. This is a .xlsx file
    ... [Read More]

Total Size
6 files (14.7 MB)
Data Citation
  • D’Agostino, V. W., Deutsch, R. J., Kwan, M., Sunassee, E. D., Madonna, M. C., Palmer, G. M., Crouch, B. T., & Ramanujam, N. (2024). Data from: In vivo spectroscopy to concurrently characterize five metabolic and vascular endpoints relevant to aggressive breast cancer. Duke Research Data Repository. https://doi.org/10.7924/r4vx0k33z
DOI
  • 10.7924/r4vx0k33z
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  • ark:/87924/r4vx0k33z
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  • Data from: In vivo spectroscopy to concurrently characterize five metabolic and vascular endpoints relevant to aggressive breast cancer
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