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The SAtellite VAlidation Navy Tool (SAVANT) was developed by the Navy to help facilitate the assessment of the stability and accuracy of ocean color satellites using ground truth (insitu) platform and buoy stations positioned around the globe and support methods for match-up protocols. This automated, continuous monitoring system for satellite ocean color sensors employs a website interface to extract and graph coincident satellite and insitu data in near-real-time. Available satellite sensors include MODerate resolution Imaging Spectrometer (MODIS) onboard the Aqua satellite, Visible Infrared Imaging Radiometer Suite (VIIRS) onboard Suomi National Polar-orbitting Partnership (SNPP) & Joint Polar Satellite Sensor (JPSS), Ocean and Land Colour Instrument (OLCI) onboard the Sentinel 3A and Geostationary Ocean Color Imager (GOCI) onboard the Communication, Ocean and Meteorological Satellite (COMS). SAVANT houses an extensive match-up data set covering nineteen plus years (2000- 2019) of coincident global satellite and ground truth spectral Normalized Water Leaving Radiance (nLw) data allowing users to evaluate the accuracy of ocean color sensors spectral water leaving radiance at specific ground truth sites that provide continuous data. The tool permits changing different match-up constraints and evaluating the effects on the match-up uncertainty. Results include: a) the effects of spatial selection (using single satellite pixel versus 3x3 and 5x5 boxes, all centered around the insitu location), b) time difference between satellite overpass and ground truth observations, c) and satellite and solar zenith angles. Match-up uncertainty analyses was performed on VIIRS SNPP at the AErosol RObotic NETwork Ocean Color (AeroNET-OC) Wave Current surge Information System (WavCIS) site, maintained by NRL and the Louisiana State University (LSU) in the North Central Gulf of Mexico onboard the Chevron platform CSI-06. The VIIRS SNPP and AeroNET-OC assessment determined optimal satellite ocean color cal/val match-up protocols that reduced uncertainty in the derived satellite products.

We developed an automated approach to Fluorescence Cross -Correlation Spectroscopy (FCCS) to screen for molecular interactions in living cells (HCS -FCS). Similar to manual measurements , we had to address the effects of measurement artifacts. In this paper we use d wavelet shrinking to correct for bleaching artifacts. Wit hout correction, bleaching of both dyes used for cross-correlation measurements result ed in a cross-correlation signal indicating mol ecular interaction even if there was no interaction present in the sample. We used simulations to develop our new method. To evaluate our new approach in vivo we used two control strains in S. cerevisiae . The negative control contained the non -interacting fluorescence proteins eGFP and mCherry. As the positive control we used a tandem of these two proteins. We measured more than 2500 individual cells and demonstrated that we could reduce the erroneous cross-correlation signal of the negative control from 69% to 4% compared to the cross-correlation signal of the positive control in the mCherry channel and from 24% to 5% for the eGFP channel . Keywords: Fluorescence Correlation Spectros copy (FCS), Fluorescence Cross-Correlation Spectroscopy (FCCS), Wavelet, Bleaching , High-Content Screening , Machine Learning .

Precision Photonics Corporation (PPC) has developed high Laser Damage Threshold (LDT) coatings for the important 2-3μm spectral region. Accurate information for both LDT and absorption for such coatings is sparse and often unreliable, especially when compared to the huge amount of information for these parameters in the 1μm spectral region. The goal of this effort is to provide useful, accurate information for high power/energy coatings, given the limited LDT and absorption testing capabilities for the 2-3μm region. In this paper, we present data for 2μm pulsed LDT, 2μm absorption, 3μm pulsed LDT, and Continuous Wave (CW) LDT data.

To measure protein interactions, diffusion properties, and local concentrations in single cells, Fluorescence Correlation Spectroscopy (FCS) is a well-established and widely accepted method. However, measurements can take a long time and are laborious. Therefore investigations are typically limited to tens or a few hundred cells. We developed an automated system to overcome these limitations and make FCS available for High Content Screening (HCS). We acquired data in an auto-correlation screen of more than 4000 of the 6000 proteins of the yeast Saccharomyces cerevisiae, tagged with eGFP and expanded the HCS to use cross-correlation between eGFP and mCherry tagged proteins to screen for molecular interactions. We performed all high-content FCS screens (HCS-FCS) in a 96 well plate format. The system is based on an extended Carl Zeiss fluorescence correlation spectrometer ConfoCor 3 attached to a confocal microscope LSM 510. We developed image-processing software to control these hardware components. The confocal microscope obtained overview images and we developed an algorithm to search for and detect single cells. At each cell, we positioned a laser beam at a well-defined point and recorded the fluctuation signal. We used automatic scoring of the signal for quality control. All data was stored and organized in a database based on the open source Open Microscopy Environment (OME) platform. To analyze the data we used the image processing language IDL and the open source statistical software package R.

Precision Photonics Corporation (PPC) has developed a method of applying Ion Beam Sputtered (IBS) MWIR antireflective coatings to the interior of a tangent ogive dome. Although IBS has traditionally not been used in this application, it is known that IBS provides the highest density coatings using very hard, durable materials. We achieve a variable coating thickness profile by means of shadow masking coupled with sophisticated 3 dimensional mathematical modeling, which optimizes the antireflection performance over a wide range of look angles for an infrared seeker inside the dome. The coating design for this project survives temperatures up to 1000oC.