Adipose tissue (body fat)

Biological materials

1 dataset, together covering 0.475–1.55 µm. Default: Yanina et al. 2019: n,k 0.475–1.55 µm.

Compare datasets

Tick datasets in the list to add them to the plot (up to 12).

Datasets

Yanina et al. 2019: n,k 0.475–1.55 µm n 0.475–1.55 µm default

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# Adipose tissue (body fat): Yanina et al. 2019: n,k 0.475–1.55 µm
adipose_tissue = ls.fetch_refractiveindex("other", "adipose_tissue", "Yanina", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(adipose_tissue.range_nm)  # (475, 1550) nm
eps = adipose_tissue.eps([633])  # complex permittivity

Downloads the original record once (pinned to the imported snapshot) and caches it.

import json, urllib.request
import lightsmith as ls

url = "https://materials.lightsmith.dev/v1/datasets/ds_8cc2e61f8180/lightsmith"
adipose_tissue = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(adipose_tissue.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (adipose-tissue/yanina-2019).

# ... load adipose_tissue as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=adipose_tissue)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=475, stop_nm=1000, num=81),
)
res = ls.solve(sim)  # exact Mie for a sphere
print(res.q_ext)     # extinction efficiency at each wavelength

Same spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).

import json, urllib.request
import lightsmith as ls

url = "https://materials.lightsmith.dev/v1/datasets/ds_8cc2e61f8180/lightsmith?model=drude_lorentz"
adipose_tissue_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))

A dispersive Drude–Lorentz model for time-domain solvers.

Materials guide Open a sphere of it in Studio Quick start Ask the community

Lightsmith is open source (MIT): Mie, T-matrix, BEM, DDA, FDTD, RCWA, TMM, mode solvers and inverse design behind one spec, on CPU or GPU. GitHub.

About Adipose tissue (body fat)

Other names: adipose_tissue, body fat, Adipose tissue, Body fat, Fat

Adipose tissue - Wikipedia

API: /v1/materials/mat_f5f2805a57b2 · slug adipose-tissue