Invivo Analytics
InVivo Analytics provides a cloud-based, AI-powered SaaS platform for automated image analysis and data prediction in preclinical imaging studies. Their software aims to improve and accelerate these studies by reducing data variability, eliminating operator bias and manual processing, and increasing data throughput and reproducibility, ultimately saving costs and human resources. The platform integrates various imaging modalities, supports large project sizes with live data analysis, and handles 3D images with proprietary BL-3D technology. It also features powerful AI/ML for unbiased data prediction and operator-independent analysis, generating automated study reports. The cloud-based solution allows for unlimited users, seamless data sharing, and supports a disease database for control datasets. Key applications include BLT (InvivoPLOT™), BLI (InVivoGRID™), and PET/CT (InVivoPET™). The company was founded by Neal Paragas (PhD Biology) and Alexander Klose (PhD Physics) to address the bias in manual image analysis.
Invivo Analytics
InVivo Analytics provides a cloud-based, AI-powered SaaS platform for automated image analysis and data prediction in preclinical imaging studies. Their software aims to improve and accelerate these studies by reducing data variability, eliminating operator bias and manual processing, and increasing data throughput and reproducibility, ultimately saving costs and human resources. The platform integrates various imaging modalities, supports large project sizes with live data analysis, and handles 3D images with proprietary BL-3D technology. It also features powerful AI/ML for unbiased data prediction and operator-independent analysis, generating automated study reports. The cloud-based solution allows for unlimited users, seamless data sharing, and supports a disease database for control datasets. Key applications include BLT (InvivoPLOT™), BLI (InVivoGRID™), and PET/CT (InVivoPET™). The company was founded by Neal Paragas (PhD Biology) and Alexander Klose (PhD Physics) to address the bias in manual image analysis.