Lately, an exposure-based sub-image histogram equalization (ESIHE) technique was presented [30], which utilizes exposure thresholds to split a given image into a group of sub-images.
Several unique control banding (CB) solutions have been identified [6] that utilize exposure and hazard banding to evaluate occupational risk for nanomaterials.
Given that exposure data for the cohort to be evaluated in the current study is not yet available, we utilized exposure information from our prior publications of BRCA mutation carriers.
For example, for NO2 and PM2.5, studies needed to utilize exposure metrics that could be constructed from our indoor air quality modeling (described below), and needed to include asthmatic children who were reasonably representative of our simulated population.
This analysis serves as an example that will inform ongoing efforts by our group and others to construct and utilize exposure prediction models that are most suitable for epidemiologic studies.
Findings in support of its utility with older people may serve to reduce the reluctance on the behalf of some practitioners to utilize exposure with older clients and increase the availability of this quick and consistently effective technique to all age groups.
More recent studies have demonstrated that computed tomography examinations utilizing automatic exposure control are able to accurately measure regional cancellous bone mineral density [21].
As with all studies utilizing environmental exposure data, the present investigation would be expected to have some degree of misclassification in the measurement of those factors.
Based upon these findings, we chose doses of 1 (incipient), 7.5 (moderate) and 25 µg/day (submaximal) for subsequent experiments utilizing longer exposure periods.
Mice were then injected IP with 15 mg/ml D-luciferin in sterile PBS (150 mg/kg) and exactly 14 min after injection of D-luciferin, a bioluminescent image was captured utilizing an exposure time of 1 minute.
