Over the last 25 years, EthoVision XT has evolved from video tracking software into a software platform. Designed to be at the core of your lab, EthoVision XT offers integration of data and automation of behavioral experiments with any animal.
Video tracking technology is versatile and we want you to have software that fits the bill for all of your experiments, from straight-forward protocols such as open field or Morris water maze testing to high-throughput protocols or the automation of optogenetics or operant conditioning tests.
Your use of Apple software or hardware products is based on the software license and other terms and conditions in effect for the product at the time of purchase. Your agreement to these terms is required to install or use the product. Please be aware that the software license that accompanies the product at the time of purchase may differ from the version of the license you can review here. Be certain to read the applicable terms carefully before you install the software or use the product.
We're partnering with NCS Analytics to make data-driven decisions that improve regulation and enforcement.By tracking seed-to-sale data like plant counts, product types and licensee numbers, the NCS Platform analyzes data from across the supply chain, helping to identify anomalies our staff may need to investigate, including potential diversion, improper financial relationships or underpayment of excise taxes. This data analysis provides an overall picture of the industry that has never before been available in Oklahoma.
USU License Management (SmartTrack) which was previously known as Apsera is an excellent cost saving tool which helps in tracking all the software licenses and evaluating what licenses would be required by the users. It also checks in parallel if all the software are adhering to the compliance policies and avoid the happening of any legal issues in future. Along with local systems, it also helps in tracking down the virtual systems as well as cloud based services. The tracker helps the legal and finance team to track down the expiry of license of various application and remind them about renewing those licenses. This way, it maintains missing the renewal timelines and thus avoiding any interruption of services. It helps in overall tracking of contracts and licenses of different applications and thus helps the organization to run all the services smoothly
ServiceNow SAM is an invaluable tool for automated tracking of software assets with powerful reporting capability. Using the platform our team has reduced manual effort in spending time on system compliance and get complete visibility on any device.
"Seed to sale tracking software helps plant-touching businesses like dispensaries or cultivation facilities monitor their expenses and revenues in one place, tying all the numbers to specific materials and products. This information is critical in helping cannabis businesses streamline their operations, inform purchasing decisions, and monitor spending."
The SPDX License List is an integral part of the SPDX Specification. The SPDX License List itself is a list of commonly found licenses and exceptions used in free and open or collaborative software, data, hardware, or documentation. The SPDX License List includes a standardized short identifier, the full name, the license text, and a canonical permanent URL for each license and exception.
Recent advances in intravital video microscopy have allowed the visualization of leukocyte behavior in vivo, revealing unprecedented spatiotemporal dynamics of immune cell interaction. However, state-of-the-art software and methods for automatically measuring cell migration exhibit limitations in tracking the position of leukocytes over time. Challenges arise both from the complex migration patterns of these cells and from the experimental artifacts introduced during image acquisition. Additionally, the development of novel tracking tools is hampered by the lack of a sound ground truth for algorithm validation and benchmarking. Therefore, the objective of this work was to create a database, namely LTDB, with a significant number of manually tracked leukocytes. Broad experimental conditions, sites of imaging, types of immune cells and challenging case studies were included to foster the development of robust computer vision techniques for imaging-based immunological research. Lastly, LTDB represents a step towards the unravelling of biological mechanisms by video data mining in systems biology.
Providing the scientific community with datasets interpreted by experts is essential to foster the development of data science methods. To this end, international cell tracking challenges on public datasets14,15 allowed to highlight the properties amongst different algorithms. However, the provided datasets did not include leukocytes observed by intravital imaging. For this reason, it is necessary to develop an extended dataset of MP-IVM videos, where a significant number of leukocytes are tracked.Here we present a leukocyte tracking database, namely "LTDB", that includes MP-IVM videos of immune cells, together with their relative tracks which were manually annotated by experts. Each video contains one or more challenges for the automatic analysis (Table 2 (available online only)), and captured the behaviour of one or more cell populations (Table 3) in response to different stimuli (Table 4).
Although LTDB was provided to primarily enhance tracking algorithms, the database embeds biomedical knowledge. To this end, data-mining and image-based systems biology methods can be applied to correlate images, tracks and metadata for investigating properties of the immune system in health and disease (Fig. 4c).
Individual operators produced 1850 tracks (113807 annotations) which were merged into the 728 tracks of the consensus tracking ground truth. The performances of each operator with respect to the consensus ground truth is reported in (Table 7). To this end, the TRA15 measure was computed. This measure includes a complete comparison of tracks represented as an acyclic oriented graph16. In order to estimate this measure, the ground truth and the individual tracks were converted in the format described in15 and evaluated using the TRAMeasure software provided along. However, that software and methodology matches a cell in the ground-truth with a cell in the track to be evaluated, when they overlap more than 50% in space. Being our dataset centroid-based a difference of 1 voxel would made the matching not possible. Hence, considering the typical cell diameter, we approximated a sphere around each of the centroids. The tolerance radius of the spheres was at maximum of 10um and was truncated in case of two centroids closer than 10um. The script LTDB2CTC.m was used to export the LTDB tracks in the acyclic oriented graph format described in14,15.
In order to evaluate tracking performances we provide a Matlab script LTDB2CTC.m to export LTDB tracks as the acyclic oriented graph representation16 used in the Cell Tracking Challenge described in14,15. This allows the usage of the accurate methodology and software provided by the aforementioned authors to compare computed tracks vs. ground truth.
Identifying a vehicle of interest is one thing, but finding it is another. With Vigilant VehicleManager license plate recognition software, start your search using effortless hot list creation and sharing paired with various options for receiving alerts when a vehicle is sighted. Additionally, expand your search by identifying associate vehicles or take a proactive approach using predictive analytics to determine where a vehicle might be in the future.
MongoDB is an open source, NoSQL, document-oriented database management system. MongoDB Inc. offers an integrated suite of cloud database services, as well as commercial support. This document-oriented database software is commonly used for high-volume data storage.
An inventory management system tracks the sale, purchase, and payments related to goods, raw materials, and finished products. Many inventory tracking software systems track inventory in different ways, such as by barcode or serial numbers, by radio-frequency identification (RFID), or through wireless tracking technology.
State whether and how the third party has the right to use the bank's information, technology, and intellectual property, such as the bank's name, logo, trademark, and copyrighted material. Indicate whether any records generated by the third party become the bank's property. Include appropriate warranties on the part of the third party related to its acquisition of licenses for use of any intellectual property developed by other third parties. If the bank purchases software, establish escrow agreements to provide for the bank's access to source code and programs under certain conditions (e.g., insolvency of the third party). 2b1af7f3a8