Skip to main content

No project description provided

Project description

A python library for calculating/looking up various tissue properties for laser bioeffect calculations

To simulate the exposure of tissue (skin or retina) to laser radiation, several properties characterizing the thermo-optical response of the tissue are needed. These include absorption coefficients, transmission coefficients, conductivity, density, specific heat, etc. This library is a collection of tissue property data sets that have been reported in the literature.


Install with pip (or your favorite virtual environment manager)

pip install tissue-properties


# Print out the absorption coefficients as a function of wavelength used in the 
# paper "Retinal-Temperature Increases Produced by Intense Light Sources" by
# Mainster in 1970. These values were extracted from Figure 3.
from tissue_properties.optical.absorption_coefficient import mainster
from tissue_properties.units import Q_

RPE = mainster.RPE()
choroid = minster.Choroid()

print("# wavelength retina choroid")
for wavelength in range(400,1405,5):
    l = Q_(wavelength,'nm')
    mu_r = RPE(l)
    mu_c = RPE(l)

# We can also get information about data set. Currently only the reference is
# provided, in BibTex format.
bibtex_text = RPE.get_reference()

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tissue_properties-0.1.1.tar.gz (53.7 kB view hashes)

Uploaded Source

Built Distribution

tissue_properties-0.1.1-py3-none-any.whl (63.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page