Picture Instruments Image 2 LUT Pro 1.0.8 (64-bit)
Nelson Suggs
WinRHIZO is regularly updated. Owners are invited to visit this web page regularly for news about updates with the features list. For questions, please contact our sales department at sa...@regentinstruments.com
This is the first version designed for and tested under Windows Vista (but it also works under XP). It has been produced by a different compiler (the latest available) and thus has inherited some enhancements of modern tools built-in (increased capacity or limits of some functions related to maximum image size).
The Arabidopsis version has all the features of the Pro version, the new features listed below and in addition it can do objects area, width and height measurements, root topology and developmental analyses separately on more than one root system per analysed region. There is no more needs to make an analysed region per object. Objects are drawn a different color in the analysed image and have their own data lines in measurements data files.
The hypocotyle and leaf length and area (precise at 15%) can be measured separately from roots for young seedlings. The identification of the root-root junctions is an interactive process (you click them). It will also calculate shoot (Hypocotyle+Leaf) to root length and area ratios.
Note 1: Root diameter distribution is not available per object.
Note 2: It will work for non-touching and non-overlapping objects. It can do basic area analysis (for more complex shape analysis see WinCAM, WinSEEDLE or WinFOLIA).
Pre-defined analysed regions. They allow to create with a single command, a specified number of equidistant regions at different vertical positions (soil depth) in an image. The size and distance between these analysed regions are specified by the operator. (Reg & Pro)
Enhanced scanner calibration files. Allow WinRHIZO to support new scanners (with their positioning system with regard to our simple scanning interface) without modifications to it (no need to release a new version to support a new scanner).
The mouse wheel can also be used to scroll the image horizontally (it was working before only in the vertical direction). Press ctrl and roll the mouse wheel to scroll horizontally. Press shift to scroll faster in both directions.
Figures below: (left) Watch the slider at bottom indicating the location of plane where image is focused; different particles come into focus at different distances from the optical window; axes are in microns, and (right) a collection of images, courtesy of Dr John Ryan, MBARI.
The LISST-Holo2 contains a red (658nm) laser that emits collimated light into the sample volume. The light is scattered by suspended particles. The scattered light then interferes with the unscattered portion of the beam. The resulting interference pattern is captured by an onboard camera. The image captured by the camera is known as a hologram.
The hologram can be digitally reconstructed to produce an in-focus picture of all the particles in the sample volume. Information about the particles size, shape, and position can all be extracted from the hologram.
The LISST-Holo2 is similar to a microscope in that it can produce in-focus images of small suspended particles. However, the benefit of using a holographic system is that you can have a large sample volume while still maintaining proper focus. In traditional microscopes, increasing the magnification decreases the depth of field. Thus, you can only image a thin slab of water. In holography the depth of field problem is eliminated, because each particle can be focused individually after the hologram has been captured.
The larger depth of field allows for a larger sample volume than is possible with a traditional microscope. This has two benefits. (1) It allows for more particles to be imaged, which will statistically improve the size distribution measurement. (2) It allows for a larger gap between the send and receive optics. The larger spacing is less likely to influence fluid flow and/or break apart aggregated particles.
Sequoia provides two pieces of software for hologram reconstruction. One is for batch processing of holograms and is used to generate a size distribution and output automatically focused particle images. The second is for qualitative viewing of holograms and allows for manually stepping through the focused planes of the hologram.
The PhenoCycler -Fusion and PhenoImager Fusion instruments come equipped with software modules for designing experiment panels, operating the instrument, and processing images. Customers receive updates as part of the periodic software update schedule.
Some files are read by multiple Akoya acquisition and analysis software programs to facilitate unmixing and analysis workflows. Due to major updates in the combined release of PhenoImager HT 2.1.0, Phenochart 2.2.0, and inForm 3.0.0 software, outputs from these versions are not backward compatible with previous versions of software. However, files from previous versions of software are forward compatible. These compatibility considerations are detailed in the Akoya Software Compatibility Considerations Table (below)
Landsat 8 (formerly the Landsat Data Continuity Mission, or LDCM) was launched on an Atlas-V rocket from Vandenberg Air Force Base, California on February 11, 2013. The satellite carries the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) instruments.
The OLI measures in the visible, near infrared, and shortwave infrared portions (VNIR, NIR, and SWIR) of the spectrum. The TIRS measures land surface temperature in two thermal bands with a new technology that applies quantum physics to detect heat. Landsat 8 images have 15-meter panchromatic and 30-meter multi-spectral spatial resolutions along a 185 km (115 mi) swath.
OLI captures data with improved radiometric precision over a 12-bit dynamic range, which improves overall signal to noise ratio. This translates into 4096 potential grey levels, compared with only 256 grey levels in Landsat 1-7 8-bit instruments. Improved signal to noise performance enables improved characterization of land cover state and condition.
The 12-bit data are scaled to 16-bit integers and delivered in the Level-1 data products. Products are scaled to 55,000 grey levels, and can be rescaled to the Top of Atmosphere (TOA) reflectance and/or radiance using radiometric rescaling coefficients provided in the product metadata file (MTL file).
While these data meet the quality standards and have the same geometric precision as data acquired on and after April 11, 2013, the geographic extents of each scene may differ. Most data are processed to the highest level possible, however there may be some differences in the spatial resolution of the early TIRS images due to telescope temperature changes, but they should be within +/- 1 percent.
February 11 will mark the 5th anniversary of the launch of Landsat 8!
Since 2013, over 1.1 million scenes have been acquired, adding to the Landsat archive which started almost 45 years ago, and continue to help support studies in agriculture, forest and water quality/use/management, natural disasters, and land change.
Originally called the Landsat Data Continuity Mission, Landsat 8 launched on February 11, 2013. In this episode of Eyes on Earth, we talk about the 10^th^ anniversary of Landsat 8 being in orbit and its value to the remote sensing community.
This natural color Landsat 8 image of the Sacramento Valley area shows the impacts of the relentless rains that impacted the area during the end of December and into the New Year. Turbid river water, saturated fields, and rising reservoirs can be seen near Stockton and Sacramento.
The Landsat 8 thermal image of the Washburn fire was acquired at night to pinpoint the location (bright white) of heat from the fire as it began. Firefighters immediately focused on suppressing the wildfire to minimize any effects on the Mariposa Grove of Giant Sequoias. As of July 18, 2022, the fire covered nearly 5,000 acres.
Landsat 8 thermal infrared (Band 10) image near Ogallala, Nebraska, showing fields with center pivot irrigation. The Thermal Infrared Sensor (TIRS) on Landsat 8-9 measures energy radiated by the earth of the surface with two spectral bands that can be used to derive surface temperature.
Karymsky volcano, one of the most active volcanoes of Kamchatka's eastern volcanic zone, erupted on April 20, 2022. This pan-sharpened Landsat 8 image captured the event. Overlaying the infrared data over the natural color image highlights the heat signature of the active flows.
USGS Scientists John Dwyer and Tom Loveland from EROS discuss the major accomplishments of Landsat 8 as it reaches it's 5 year design life. The Landsat program started in 1972, and has a bright future thanks to these extraordinary satellites.