armitage_estimate_sarea

A data table with well_number corresponding to plate format, optionally include v_working, sarea, option.bottom, and option.plastic

tcdata

For single value, plate format default is 384, used if is.na(tcdata)==T

this.well_number

For single value, optionally supply cell_yield, otherwise estimated based on well number

this.cell_yield

For single value, optionally supply working volume, otherwise estimated based on well number (m^3)

this.v_working

Estimate geometry surface area of plastic in well plate based on well plate format suggested values from Corning. 
option.plastic == T (default) give nonzero surface area (sarea, m^2)
option.bottom == T (default) includes surface area of the bottom of the well in determining sarea. 
Optionally include user values for working volume (v_working, m^3) and surface area.

Functions and data tables for simulation and statistical analysis
of chemical toxicokinetics ("TK") as in Pearce et al. (2017)
<doi:10.18637/jss.v079.i04>. Chemical-specific in vitro
data have been obtained from relatively high throughput
experiments. Both physiologically-based ("PBTK") and empirical
(e.g., one compartment) "TK" models can be parameterized for
several hundred chemicals and multiple species. These models are
solved efficiently, often using compiled (C-based) code. A Monte
Carlo sampler is included for simulating biological variability
(Ring et al., 2017 <doi:10.1016/j.envint.2017.06.004>)
and measurement limitations. Calibrated methods are included for
predicting tissue:plasma partition coefficients and volume of
distribution
(Pearce et al., 2017 <doi:10.1007/s10928-017-9548-7>).
These functions and data provide a set of tools for
in vitro-in vivo extrapolation ("IVIVE") of high throughput
screening data (e.g., Tox21, ToxCast) to real-world exposures via
reverse dosimetry (also known as "RTK")
(Wetmore et al., 2015 <doi:10.1093/toxsci/kfv171>).

armitage_estimate_sarea: Estimate well surface area

Description

Usage

Arguments

Value