Optical constants
Refractive index of Blood
Liu et al. 2019: Serum; n 0.400–0.750 µm
- Data
- formula 5
- Range
- 0.4–0.75 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.34738
- Extinction coefficient k
- 0
- Permittivity ε1
- 1.81542
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 47.936
- Chromatic dispersion dn/dλ
- -0.0383894 µm⁻¹
- Group index ng
- 1.36993
- Group velocity dispersion
- 61.2909 fs²/mm
- Dispersion parameter D
- -334.374 ps/(nm·km)
- Photon energy
- 2.11001 eV
ε = (n + ik)², α = 4πk/λ, ng = n − λ dn/dλ, GVD = λ³/(2πc²) d²n/dλ², D = −(λ/c) d²n/dλ². Group-velocity dispersion is given for formula data only.
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Blood: Liu et al. 2019: Serum; n 0.400–0.750 µm
blood = ls.fetch_refractiveindex("other", "blood", "Liu-serum", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(blood.range_nm) # (400, 750) nm
eps = blood.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_ba4ebfb110dd/lightsmith"
blood = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(blood.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (blood/liu-2019-serum).
# ... load blood as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=blood)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=750, 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"]).
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.
Dispersion formula
Cauchy (formula 5), λ in µmValid from 0.4 to 0.75 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 1.335 |
| C2 | 0.0046513 |
| C3 | -2.0 |
| C4 | -0.00013069 |
| C5 | -4.0 |
References
- doi:10.1117/1.jbo.24.3.035003 Measurement of the refractive index of whole blood and its components for a continuous spectral region, Journal of Biomedical Optics (2019)
Cite
Shike Liu et al.. Measurement of the refractive index of whole blood and its components for a continuous spectral region. Journal of Biomedical Optics, 24, 1-5 (2019), doi:10.1117/1.jbo.24.3.035003; Data from the refractiveindex.info database (M. N. Polyanskiy, Sci. Data 11, 94 (2024), doi:10.1038/s41597-023-02898-2)
Data
Computed on 400 wavelengths, the same grid as the API and the library| λ (µm) | n |
|---|---|
| 0.4 | 1.358966 |
| 0.400631 | 1.358906 |
| 0.401262 | 1.358847 |
| 0.401895 | 1.358788 |
| 0.402529 | 1.358729 |
| 0.403163 | 1.358669 |
| 0.403799 | 1.358611 |
| 0.404436 | 1.358552 |
| 0.405073 | 1.358493 |
| 0.405712 | 1.358434 |
| 0.406352 | 1.358376 |
| 0.406992 | 1.358317 |
| 0.407634 | 1.358259 |
| 0.408277 | 1.3582 |
| 0.408921 | 1.358142 |
| 0.409565 | 1.358084 |
| 0.410211 | 1.358026 |
| 0.410858 | 1.357968 |
| 0.411506 | 1.35791 |
| 0.412155 | 1.357852 |
| 0.412804 | 1.357795 |
| 0.413455 | 1.357737 |
| 0.414107 | 1.35768 |
| 0.41476 | 1.357622 |
| 0.415414 | 1.357565 |
| 0.416069 | 1.357508 |
| 0.416725 | 1.35745 |
| 0.417382 | 1.357393 |
| 0.41804 | 1.357336 |
| 0.418699 | 1.35728 |
| 0.419359 | 1.357223 |
| 0.420021 | 1.357166 |
| 0.420683 | 1.35711 |
| 0.421346 | 1.357053 |
| 0.422011 | 1.356997 |
| 0.422676 | 1.356941 |
| 0.423342 | 1.356884 |
| 0.42401 | 1.356828 |
| 0.424678 | 1.356772 |
| 0.425348 | 1.356716 |
| 0.426019 | 1.356661 |
| 0.42669 | 1.356605 |
| 0.427363 | 1.356549 |
| 0.428037 | 1.356494 |
| 0.428712 | 1.356438 |
| 0.429388 | 1.356383 |
| 0.430065 | 1.356328 |
| 0.430743 | 1.356273 |
| 0.431422 | 1.356218 |
| 0.432102 | 1.356163 |
| 0.432783 | 1.356108 |
| 0.433466 | 1.356053 |
| 0.434149 | 1.355999 |
| 0.434834 | 1.355944 |
| 0.435519 | 1.35589 |
| 0.436206 | 1.355835 |
| 0.436894 | 1.355781 |
| 0.437583 | 1.355727 |
| 0.438273 | 1.355673 |
| 0.438964 | 1.355619 |
| 0.439656 | 1.355565 |
| 0.440349 | 1.355511 |
| 0.441043 | 1.355458 |
| 0.441739 | 1.355404 |
| 0.442435 | 1.355351 |
| 0.443133 | 1.355298 |
| 0.443831 | 1.355244 |
| 0.444531 | 1.355191 |
| 0.445232 | 1.355138 |
| 0.445934 | 1.355085 |
| 0.446637 | 1.355032 |
| 0.447341 | 1.35498 |
| 0.448047 | 1.354927 |
| 0.448753 | 1.354875 |
| 0.449461 | 1.354822 |
| 0.450169 | 1.35477 |
| 0.450879 | 1.354718 |
| 0.45159 | 1.354665 |
| 0.452302 | 1.354613 |
| 0.453015 | 1.354562 |
| 0.45373 | 1.35451 |
| 0.454445 | 1.354458 |
| 0.455161 | 1.354406 |
| 0.455879 | 1.354355 |
| 0.456598 | 1.354304 |
| 0.457318 | 1.354252 |
| 0.458039 | 1.354201 |
| 0.458761 | 1.35415 |
| 0.459484 | 1.354099 |
| 0.460209 | 1.354048 |
| 0.460935 | 1.353997 |
| 0.461661 | 1.353947 |
| 0.462389 | 1.353896 |
| 0.463118 | 1.353846 |
| 0.463848 | 1.353795 |
| 0.46458 | 1.353745 |
| 0.465312 | 1.353695 |
| 0.466046 | 1.353645 |
| 0.466781 | 1.353595 |
| 0.467517 | 1.353545 |
| 0.468254 | 1.353495 |
| 0.468992 | 1.353445 |
| 0.469732 | 1.353396 |
| 0.470472 | 1.353346 |
| 0.471214 | 1.353297 |
| 0.471957 | 1.353248 |
| 0.472701 | 1.353199 |
| 0.473446 | 1.35315 |
| 0.474193 | 1.353101 |
| 0.474941 | 1.353052 |
| 0.475689 | 1.353003 |
| 0.476439 | 1.352954 |
| 0.477191 | 1.352906 |
| 0.477943 | 1.352857 |
| 0.478697 | 1.352809 |
| 0.479451 | 1.352761 |
| 0.480207 | 1.352713 |
| 0.480964 | 1.352665 |
| 0.481723 | 1.352617 |
| 0.482482 | 1.352569 |
| 0.483243 | 1.352521 |
| 0.484005 | 1.352474 |
| 0.484768 | 1.352426 |
| 0.485532 | 1.352379 |
| 0.486298 | 1.352332 |
| 0.487065 | 1.352284 |
| 0.487833 | 1.352237 |
| 0.488602 | 1.35219 |
| 0.489372 | 1.352143 |
| 0.490144 | 1.352097 |
| 0.490917 | 1.35205 |
| 0.491691 | 1.352003 |
| 0.492466 | 1.351957 |
| 0.493242 | 1.35191 |
| 0.49402 | 1.351864 |
| 0.494799 | 1.351818 |
| 0.495579 | 1.351772 |
| 0.496361 | 1.351726 |
| 0.497143 | 1.35168 |
| 0.497927 | 1.351634 |
| 0.498712 | 1.351589 |
| 0.499498 | 1.351543 |
| 0.500286 | 1.351498 |
| 0.501075 | 1.351452 |
| 0.501865 | 1.351407 |
| 0.502656 | 1.351362 |
| 0.503449 | 1.351317 |
| 0.504242 | 1.351272 |
| 0.505037 | 1.351227 |
| 0.505834 | 1.351182 |
| 0.506631 | 1.351138 |
| 0.50743 | 1.351093 |
| 0.50823 | 1.351049 |
| 0.509032 | 1.351004 |
| 0.509834 | 1.35096 |
| 0.510638 | 1.350916 |
| 0.511443 | 1.350872 |
| 0.51225 | 1.350828 |
| 0.513057 | 1.350784 |
| 0.513866 | 1.35074 |
| 0.514676 | 1.350697 |
| 0.515488 | 1.350653 |
| 0.516301 | 1.35061 |
| 0.517115 | 1.350566 |
| 0.51793 | 1.350523 |
| 0.518747 | 1.35048 |
| 0.519564 | 1.350437 |
| 0.520384 | 1.350394 |
| 0.521204 | 1.350351 |
| 0.522026 | 1.350308 |
| 0.522849 | 1.350266 |
| 0.523673 | 1.350223 |
| 0.524499 | 1.350181 |
| 0.525326 | 1.350138 |
| 0.526154 | 1.350096 |
| 0.526984 | 1.350054 |
| 0.527815 | 1.350012 |
| 0.528647 | 1.34997 |
| 0.529481 | 1.349928 |
| 0.530315 | 1.349887 |
| 0.531152 | 1.349845 |
| 0.531989 | 1.349803 |
| 0.532828 | 1.349762 |
| 0.533668 | 1.34972 |
| 0.534509 | 1.349679 |
| 0.535352 | 1.349638 |
| 0.536196 | 1.349597 |
| 0.537042 | 1.349556 |
| 0.537888 | 1.349515 |
| 0.538736 | 1.349474 |
| 0.539586 | 1.349434 |
| 0.540437 | 1.349393 |
| 0.541289 | 1.349353 |
| 0.542142 | 1.349312 |
| 0.542997 | 1.349272 |
| 0.543853 | 1.349232 |
| 0.544711 | 1.349192 |
| 0.54557 | 1.349152 |
| 0.54643 | 1.349112 |
| 0.547291 | 1.349072 |
| 0.548154 | 1.349032 |
| 0.549018 | 1.348993 |
| 0.549884 | 1.348953 |
| 0.550751 | 1.348914 |
| 0.551619 | 1.348875 |
| 0.552489 | 1.348835 |
| 0.55336 | 1.348796 |
| 0.554233 | 1.348757 |
| 0.555107 | 1.348718 |
| 0.555982 | 1.348679 |
| 0.556859 | 1.348641 |
| 0.557737 | 1.348602 |
| 0.558616 | 1.348563 |
| 0.559497 | 1.348525 |
| 0.560379 | 1.348487 |
| 0.561262 | 1.348448 |
| 0.562147 | 1.34841 |
| 0.563034 | 1.348372 |
| 0.563921 | 1.348334 |
| 0.564811 | 1.348296 |
| 0.565701 | 1.348258 |
| 0.566593 | 1.348221 |
| 0.567486 | 1.348183 |
| 0.568381 | 1.348146 |
| 0.569277 | 1.348108 |
| 0.570175 | 1.348071 |
| 0.571074 | 1.348034 |
| 0.571974 | 1.347996 |
| 0.572876 | 1.347959 |
| 0.573779 | 1.347922 |
| 0.574684 | 1.347885 |
| 0.57559 | 1.347849 |
| 0.576498 | 1.347812 |
| 0.577407 | 1.347775 |
| 0.578317 | 1.347739 |
| 0.579229 | 1.347703 |
| 0.580142 | 1.347666 |
| 0.581057 | 1.34763 |
| 0.581973 | 1.347594 |
| 0.582891 | 1.347558 |
| 0.58381 | 1.347522 |
| 0.58473 | 1.347486 |
| 0.585652 | 1.34745 |
| 0.586576 | 1.347414 |
| 0.5875 | 1.347379 |
| 0.588427 | 1.347343 |
| 0.589354 | 1.347308 |
| 0.590284 | 1.347273 |
| 0.591214 | 1.347237 |
| 0.592147 | 1.347202 |
| 0.59308 | 1.347167 |
| 0.594015 | 1.347132 |
| 0.594952 | 1.347097 |
| 0.59589 | 1.347063 |
| 0.596829 | 1.347028 |
| 0.597771 | 1.346993 |
| 0.598713 | 1.346959 |
| 0.599657 | 1.346924 |
| 0.600602 | 1.34689 |
| 0.601549 | 1.346856 |
| 0.602498 | 1.346822 |
| 0.603448 | 1.346787 |
| 0.604399 | 1.346754 |
| 0.605352 | 1.34672 |
| 0.606307 | 1.346686 |
| 0.607263 | 1.346652 |
| 0.60822 | 1.346618 |
| 0.609179 | 1.346585 |
| 0.61014 | 1.346551 |
| 0.611102 | 1.346518 |
| 0.612065 | 1.346485 |
| 0.61303 | 1.346451 |
| 0.613997 | 1.346418 |
| 0.614965 | 1.346385 |
| 0.615935 | 1.346352 |
| 0.616906 | 1.34632 |
| 0.617878 | 1.346287 |
| 0.618853 | 1.346254 |
| 0.619828 | 1.346221 |
| 0.620806 | 1.346189 |
| 0.621784 | 1.346156 |
| 0.622765 | 1.346124 |
| 0.623747 | 1.346092 |
| 0.62473 | 1.34606 |
| 0.625715 | 1.346028 |
| 0.626702 | 1.345996 |
| 0.62769 | 1.345964 |
| 0.62868 | 1.345932 |
| 0.629671 | 1.3459 |
| 0.630664 | 1.345868 |
| 0.631658 | 1.345837 |
| 0.632654 | 1.345805 |
| 0.633651 | 1.345774 |
| 0.63465 | 1.345742 |
| 0.635651 | 1.345711 |
| 0.636653 | 1.34568 |
| 0.637657 | 1.345649 |
| 0.638663 | 1.345618 |
| 0.63967 | 1.345587 |
| 0.640678 | 1.345556 |
| 0.641688 | 1.345525 |
| 0.6427 | 1.345495 |
| 0.643713 | 1.345464 |
| 0.644728 | 1.345433 |
| 0.645745 | 1.345403 |
| 0.646763 | 1.345373 |
| 0.647783 | 1.345342 |
| 0.648804 | 1.345312 |
| 0.649827 | 1.345282 |
| 0.650852 | 1.345252 |
| 0.651878 | 1.345222 |
| 0.652906 | 1.345192 |
| 0.653935 | 1.345162 |
| 0.654966 | 1.345133 |
| 0.655999 | 1.345103 |
| 0.657033 | 1.345073 |
| 0.658069 | 1.345044 |
| 0.659107 | 1.345014 |
| 0.660146 | 1.344985 |
| 0.661187 | 1.344956 |
| 0.662229 | 1.344927 |
| 0.663273 | 1.344898 |
| 0.664319 | 1.344868 |
| 0.665367 | 1.34484 |
| 0.666416 | 1.344811 |
| 0.667466 | 1.344782 |
| 0.668519 | 1.344753 |
| 0.669573 | 1.344725 |
| 0.670629 | 1.344696 |
| 0.671686 | 1.344668 |
| 0.672745 | 1.344639 |
| 0.673806 | 1.344611 |
| 0.674868 | 1.344583 |
| 0.675932 | 1.344554 |
| 0.676998 | 1.344526 |
| 0.678065 | 1.344498 |
| 0.679135 | 1.34447 |
| 0.680205 | 1.344442 |
| 0.681278 | 1.344415 |
| 0.682352 | 1.344387 |
| 0.683428 | 1.344359 |
| 0.684505 | 1.344332 |
| 0.685585 | 1.344304 |
| 0.686666 | 1.344277 |
| 0.687748 | 1.34425 |
| 0.688833 | 1.344222 |
| 0.689919 | 1.344195 |
| 0.691007 | 1.344168 |
| 0.692096 | 1.344141 |
| 0.693187 | 1.344114 |
| 0.69428 | 1.344087 |
| 0.695375 | 1.34406 |
| 0.696471 | 1.344033 |
| 0.697569 | 1.344007 |
| 0.698669 | 1.34398 |
| 0.699771 | 1.343954 |
| 0.700874 | 1.343927 |
| 0.701979 | 1.343901 |
| 0.703086 | 1.343874 |
| 0.704195 | 1.343848 |
| 0.705305 | 1.343822 |
| 0.706417 | 1.343796 |
| 0.707531 | 1.34377 |
| 0.708646 | 1.343744 |
| 0.709764 | 1.343718 |
| 0.710883 | 1.343692 |
| 0.712004 | 1.343667 |
| 0.713126 | 1.343641 |
| 0.714251 | 1.343615 |
| 0.715377 | 1.34359 |
| 0.716505 | 1.343564 |
| 0.717634 | 1.343539 |
| 0.718766 | 1.343514 |
| 0.719899 | 1.343488 |
| 0.721034 | 1.343463 |
| 0.722171 | 1.343438 |
| 0.72331 | 1.343413 |
| 0.72445 | 1.343388 |
| 0.725592 | 1.343363 |
| 0.726737 | 1.343338 |
| 0.727882 | 1.343314 |
| 0.72903 | 1.343289 |
| 0.730179 | 1.343264 |
| 0.731331 | 1.34324 |
| 0.732484 | 1.343215 |
| 0.733639 | 1.343191 |
| 0.734795 | 1.343166 |
| 0.735954 | 1.343142 |
| 0.737114 | 1.343118 |
| 0.738277 | 1.343094 |
| 0.739441 | 1.34307 |
| 0.740607 | 1.343046 |
| 0.741774 | 1.343022 |
| 0.742944 | 1.342998 |
| 0.744115 | 1.342974 |
| 0.745288 | 1.34295 |
| 0.746464 | 1.342927 |
| 0.747641 | 1.342903 |
| 0.748819 | 1.342879 |
| 0.75 | 1.342856 |
Optical transmission calculator
Free-standing sample in vacuum, normal incidence- Transmittance T
- —
- Reflectance R
- —
Fresnel reflection calculator
- Rp
- —
- Rs
- —
- R = (Rp+Rs)/2
- —
- Phase φp
- —
- Phase φs
- —
- Brewster angle θB
- —
- Critical angle θC
- —