アプライド Product Lineup

The completely open-source protein structure prediction software "openfold3" is a fully open-source biomolecular complex structure prediction model developed with the aim of reproducing the functionalities of Google DeepMind's AlphaFold3. It has become a software of great interest as it allows for free use, retraining, and application development by research institutions and companies alike. We are selecting the most suitable models for such software.

The next-generation sequencing analysis software "CLC Genomics Workbench" is a software that allows for integrated analysis with an intuitive GUI operation. It features advanced functions such as assembly, mapping, and variant calling (mutation detection), supports a wide range of fields including RNA-seq and metagenomics, offers flexibility through rich workflows and plugins, is compatible with Windows/Mac/Linux, and includes visualization capabilities. It is used by both experts and beginners, supporting research efficiency and collaboration. This is a recommended PC for those looking for the ideal setup for such software!

In the drug discovery industry, accurately predicting the structure and interactions of molecules that could become drug candidates is a crucial factor that influences the success of new drug development. AI models like AlphaFold3 innovate this process by predicting the structures and interactions of complex molecules such as proteins, DNA, RNA, and ligands with high precision. However, these models require high-performance GPUs, and computational capacity can become a bottleneck. Our HPC is equipped with the recommended NVIDIA H200 GPU for running AlphaFold3, accelerating target exploration in drug discovery research. 【Use Cases】 - Identification of drug discovery targets - Molecular docking simulations - Screening of drug candidate compounds 【Benefits of Implementation】 - Increased efficiency in drug discovery research - Reduced new drug development timelines - Lower research costs

Recommended Advanced 3D Image Processing Software for Medical Research and Materials Science: Dragonfly Equipped with advanced segmentation features powered by AI Ideal for 3D analysis of SEM/TEM, CT, MRI, and optical microscopy 【Features】 - A new era of image processing with AI capabilities - High-performance automatic segmentation - Image enhancement to improve X-ray image quality - Comprehensive quantitative analysis tools - Also optimal for materials science Achieve impactful visualization and advanced analysis with a sophisticated GUI Advanced AI segmentation made easy with a wizard-style interface Accurate technical support provided by experienced staff We offer a total solution for Dragonfly software licenses and the optimal workstations to run Dragonfly smoothly. For inquiries regarding product implementation, 3D analysis of your products, and pricing for recommended PCs, please contact us separately.

Visiopharm is a pathology image analysis software equipped with deep learning capabilities. It powerfully assists in the analysis of image data obtained from large tissue samples using advanced artificial intelligence (AI). Pre-built analysis protocols are available to accommodate various applications, allowing users to select the appropriate analysis algorithm to obtain accurate results. For this analysis, the number of CPU cores, the amount of memory, and the performance of the graphics card are important. This model, selected with the above specifications in mind, is highly recommended.

Aivia is an advanced image analysis software that utilizes artificial intelligence (AI) technology. It allows for easy and efficient analysis of large volumes of data from 2D to 5D images obtained mainly through microscopy, even without knowledge of image processing, significantly improving the efficiency and accuracy of research. Since its release, it has been used for various analyses in many research institutions. We would like to introduce the hardware component, HPC, that enables Aivia to operate smoothly!

MIPAR, developed by MIPAR Software LLC, which is primarily composed of members from Ohio State University, is an innovative image processing software that excels in detection capabilities and measurement techniques. It can be used in various fields, including particle measurement (particle size distribution, particle count, particle area), cell counting and measurement, viability assessment, and specific area detection of metals and minerals. No programming is required at all. - 3D image creation and volume calculation from multiple cross-sectional images - Automatic generation feature for reflecting image processing results in MS Word or PowerPoint - Detailed detection of features that have been difficult to detect until now Options for image detection using Deep Learning and volume calculation functions from created 3D images are also available. Recommended hardware configuration for a workstation equipped with the specifications necessary for comfortable operation of MIPAR.

AI particle image analysis software "AIPAS" (AI ParticleAnalyzing Software) is an offline software that achieves high-precision detection and classification of individual particles and powders, as well as accurate measurements, for particle and powder images that are difficult to analyze with conventional image processing by utilizing deep learning. - Equipped with an AI model trained on approximately 600,000 particles of over 25 types - Excels in analyzing agglomerated particles, composites, sintered bodies, and crystalline particles, which are challenging for existing software - Capable of detecting and measuring primary particles that make up secondary aggregates - Features various specialized models tailored for SEM, TEM, and S-TEM images - Customizable to optimize for user images Recommended hardware configuration for a workstation that meets the specifications for comfortable operation of AIPAS.