scholarly journals Hazardous Materials Handling for Life Science Experimnt in Space

1991 ◽  
Vol 5 (2) ◽  
pp. 99-108
Author(s):  
Mutsumi Nagase ◽  
Kenichi Ijiri ◽  
Masashi Endo ◽  
Shunji Nagaoka ◽  
Ron Usami ◽  
...  
Keyword(s):  
Life Science ◽  
Hazardous Materials ◽  
Materials Handling

Field Decontamination and Triage in Chemical Emergencies

1987 ◽  
Vol 3 (1) ◽  
pp. 37-39
Author(s):  
Constance J. Doyle
Keyword(s):  
United States ◽  
Emergency Department ◽  
Environmental Protection Agency ◽  
Hazardous Materials ◽  
The United States ◽  
Protection Agency ◽  
Environmental Cleanup ◽  
Materials Handling ◽  
Toxic Materials ◽  
The U.S

Triage and rescue of casualties from accidents involving hazardous materials is a challenge for many emergency medical services (EMS) personnel. With very toxic materials, the untrained and unprepared rescuer may become a victim. In addition, few hospitals in the United States have decontamination units attached to their emergency departments and emergency department personnel may become exposed if the casualty is not decontaminated. Many environmental cleanup teams, including the U.S. Environmental Protection Agency (EPA) team, are well trained in materials handling but are not immediately available when a hazardous materials spill with personal injuries occurs.

DESIGN AND DEVELOPMENT OF AN AUTONOMOUS OMNIDIRECTIONAL HAZARDOUS MATERIALS HANDLING ROBOT

2016 ◽  
Vol 40 (2) ◽  
pp. 169-190
Author(s):  
Nicholas Charabaruk ◽  
Scott Nokleby
Keyword(s):  
Human Exposure ◽  
Hazardous Materials ◽  
Test Results ◽  
Radioactive Materials ◽  
Adaptive Monte Carlo ◽  
Robot Operating System ◽  
Materials Handling ◽  
Monte Carlo Localization ◽  
The Individual ◽  
Design And Testing

This paper describes the design and testing of an autonomous omnidirectional robot to be used for moving radioactive materials while minimizing human exposure. The robot, called the OmniMaxbot, uses the Robot Operating System (ROS) to allow the individual components to communicate as well as to control the movement. Details about the hardware and software used in the OmniMaxbot are explained. Test results are presented for the navigation system based on the ROS packages: Global Planner, Base Local Planner, and Adaptive Monte Carlo Localization (AMCL). The test results confirm that the OmniMaxbot is capable of autonomously navigating to a mock ash can, lifting it, navigating to a drop-off location, putting the mock ash can down, backing away until the forks are clear of the mock ash can, and navigating to a standby location. These actions can be performed in areas with both static and dynamic obstacles.

The CM120 Biotwin: a high-contrast objective lens, optimum cryo-vacuum and improved EDX performance

1995 ◽  
Vol 53 ◽  
pp. 584-585
Author(s):  
Uwe Lücken ◽  
Michael Felsmann ◽  
Wim M. Busing ◽  
Frank de Jong
Keyword(s):  
Life Science ◽  
Focal Length ◽  
Objective Lens ◽  
High Contrast ◽  
Contrast Imaging ◽  
X Ray ◽  
Forming Mechanism ◽  
Similar Image ◽  
High Contrast Imaging ◽  
Low Concentrations

A new microscope for the study of life science specimen has been developed. Special attention has been given to the problems of unstained samples, cryo-specimens and x-ray analysis at low concentrations.A new objective lens with a Cs of 6.2 mm and a focal length of 5.9 mm for high-contrast imaging has been developed. The contrast of a TWIN lens (f = 2.8 mm, Cs = 2 mm) and the BioTWTN are compared at the level of mean and SD of slow scan CCD images. Figure 1a shows 500 +/- 150 and Fig. 1b only 500 +/- 40 counts/pixel. The contrast-forming mechanism for amplitude contrast is dependent on the wavelength, the objective aperture and the focal length. For similar image conditions (same voltage, same objective aperture) the BioTWIN shows more than double the contrast of the TWIN lens. For phasecontrast specimens (like thin frozen-hydrated films) the contrast at Scherzer focus is approximately proportional to the √ Cs.

X-ray mapping without STEM

1994 ◽  
Vol 52 ◽  
pp. 508-509
Author(s):  
Judith M. Brock ◽  
Max T. Otten
Keyword(s):  
Life Science ◽  
Materials Science ◽  
Chemical Elements ◽  
Full Description ◽  
Scanning System ◽  
Elemental Distribution ◽  
X Ray ◽  
Transmission Electron ◽  
Distribution Of Elements ◽  
Made In

A knowledge of the distribution of chemical elements in a specimen is often highly useful. In materials science specimens features such as grain boundaries and precipitates generally force a certain order on mental distribution, so that a single profile away from the boundary or precipitate gives a full description of all relevant data. No such simplicity can be assumed in life science specimens, where elements can occur various combinations and in different concentrations in tissue. In the latter case a two-dimensional elemental-distribution image is required to describe the material adequately. X-ray mapping provides such of the distribution of elements.The big disadvantage of x-ray mapping hitherto has been one requirement: the transmission electron microscope must have the scanning function. In cases where the STEM functionality – to record scanning images using a variety of STEM detectors – is not used, but only x-ray mapping is intended, a significant investment must still be made in the scanning system: electronics that drive the beam, detectors for generating the scanning images, and monitors for displaying and recording the images.

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