Crew and Life Support

SOFTWARE CATALOG
Crew and Life Support
Crew and Life Support
Biological Sensors, Food, Medical, Biological Analysis, Crew Support, Basic Human Model and Cognition
MSC-26184-1
Space Science Investigations: Plant Growth
Interactive app for mobile platforms teaching about growing plants in space. Down load available on iTunes or Google Play store (no agreement with NASA needed).
General Public Release
MSC-25937-1
RITRACKS: A software for simulation of stochastic radiation track structure, micro- and nano-dosimetry, radiation chemistry and DNA damage by heavy ions
The code RITRACKS (Relativistic Ion Tracks) has been developed over the last years at the NASA Johnson Space Center to simulate the effects of ionizing radiations at the microscopic scale and to understand the effects of space radiation at the biological level. The fundamental part of this code is the stochastic simulation of radiation track structure of heavy ions, an important component of space radiations. The code can calculate many relevant quantities such as the radial dose, voxel dose, and may also be used to calculate the dose in spherical and cylindrical targets of various sizes. Recently, we have incorporated DNA structure and damage simulations at the molecular scale in RITRACKS. The direct effect of radiations is simulated by introducing a slight modification of the existing particle transport algorithms, using the Binary-Encounter-Bethe model of ionization cross sections for each molecular orbitals of DNA. The simulation of radiation chemistry is done by a step-by-step diffusion-reaction program based on the Greens functions of the diffusion equation. This approach is also used to simulate the indirect effect of ionizing radiation on DNA. The software can be installed independently on PC and tablets using the Windows operating system and does not require any coding from the user. It includes a Graphic User Interface (GUI) and a 3D OpenGL visualization interface. The calculations are executed simultaneously (in parallel) on multiple CPUs.
General Public Release
KSC-13752
An LED Lighting Panel Software Simulation Tool
The software tool was originally designed and implemented for use with the Advanced Biological Research System (ABRS) lighting panel upgrade. The upgrade was required since the LEDs used in the original design are no longer available in small quantity, and newer LEDs have a much higher efficiency. Even though the software tool is currently written for a flat panel containing LEDs pointing normal to the panel, the equations used are fundamental to the physics of the problem and therefore can be applied to any geometrical configuration by implementing a modified user interface.
General Public Release
MSC-26032-1
Fine Motor Skills (FMS) Software Application
The Fine Motor Skills (FMS) software test battery is designed to collect data from multiple tasks that are indicative of fine motor performance. It was developed to evaluate the effect of microgravity on the sensorimotor system during 6 month and 1 year missions on the International Space Station (ISS). The application runs on an iOS platform, and is intended for use on an iPad. The data recorded on the iPad can be sent to a server or retrieved from iTunes directly from the device. The FMS app can be accessed at the Apple app store, with more details and instructions available at: https://www.nasa.gov/content/spaceflight-human-factors
General Public Release
LAR-17835-1
Multi-Attribute Task Battery (MATB-II)
MATB-II is a computer-based task battery designed to facilitate research in human multiple task performance with consideration for the effects of automation. The tool includes five component tasks: system monitoring, tracking, communications monitoring, and resource management. A scheduling window provides preview of anticipated workload, and component tasks can be automated or manual. Coded in C++, MATB-II has been tested on the Windows XP Service Pack 3, Windows Vista, and Windows 7 operating systems.
General Public Release
MSC-26211-1
Acute Radiation Risk and BRYNTRN Organ Dose (ARRBOD) version 2.1
The Acute Radiation Risk And BRYNTRN Organ Dose Projection (ARRBOD) is a radiation risk projection model for typical space traveling scenarios, which calculates gender-dependent organ doses and various acute radiation responses due to some historical large solar particle events (SPEs).
General Public Release
ARC-15150-1A
NASA Task Load Index (TLX) iOS
The NASA Task Load Index (TLX) provides multi-dimensional ratings of overall workload based on a weighted average of six subscales: mental demands, physical demands, temporal demands, performance, effort, and frustration. NASA TLX iOS is a full computational version of its predecessor Windows NT, and pencil and paper version. Data collection may be performed through an iPhone, or an iPad.
General Public Release
MSC-24760-1
GCR Event-Based Risk Model (GERMCode) Code
The GERMCode provides scientists data interpretation of experiments; modeling of beam line, shielding of target samples and sample holders; and estimation of basic physical and biological outputs of their experiments. For mono-energetic ion beams, basic physical and biological properties are calculated for a selected ion type, such as kinetic energy, mass, charge number, absorbed dose, or fluence. Evaluated quantities are linear energy transfer (LET), range (R), absorption and fragmentation cross sections, and the probability of nuclear interactions after 1 or 5 cm of water equivalent material. In addition, a set of biophysical properties are evaluated, such as, the Poisson distribution for a specified cellular area, cell survival curves, and DNA damage yields per cell. Also, the GERM code calculates the radiation transport of the beam line for either a fixed number of user specified depths or at multiple positions along the Bragg curve of the particle in a selected material.
General Public Release
MSC-25352-1
NASA Space Radiation Cancer Risk (NSCR) Model 2012
NASA Space Cancer Risk Model (NSCR-2012) is an integration of various components of the cancer risk projection model for assessment of radiation induced Cancer risks for humans in space. Exposure to the solar particle events (SPE) and galactic cosmic ray (GCR) present cancer risks to astronauts. The NASA Johnson Space Center Space Radiation Program (JSC-SRP) has developed the NASA Space Radiation Cancer Risk (NSCR) model to estimate cancer risks and overall uncertainties due to various factors that enter into risk estimates. NSCR utilizes the latest analysis of human radio-epidemiology for low linear energy transfer (LET) radiation and cancer and survival rates in the U.S. population and a population of never-smokers. NASA specific radiation quality factors based on particle track structure are defined. Models of space environments and radiation transport are used to determine organ exposures behind spacecraft shielding. NSCR makes projections for never-smokers which are shown to lead to reduced radiation cancer risk compared to others. NSCR uses Monte-Carlo propopagation of errors in various factors that enter into risk projections to determine overall uncertainties in radiation cancer projections. The NSCR Graphical User Interface (GUI) provides seamless integration of input and output manipulations, which are required for operations of the sub-modules: HZETRN, BRYNTRN, SUMSHIELD, and the Cancer probabilistic response models. The main applications envisioned are International Space Station (ISS) Missions, and planning for future exploration missions to the moon, Near Earth Objects (NEO) or Mars. Tissues specific probabilities for cancer incidence or death are evaluated for various criteria including: 1) adults at different ages of exposures, 2) males or females, and 3) population of never-smokers or the US average population. Probability distribution functions (PDFs) are used to describe factor uncertainties, and 95% confidence levels estimated.
U.S. Government Purpose Release
View more software
Stay up to date, follow NASA's Technology Transfer Program on:
facebook twitter linkedin youtube
Facebook Logo Twitter Logo Linkedin Logo Youtube Logo