FAQs

Scispot provides seamless, real-time integration with mass spectrometry instruments such as Thermo Fisher Orbitrap, SCIEX TripleTOF, Bruker timsTOF, and Waters SYNAPT through built-in connectors and an API-first design. Raw data flows directly from instruments to Scispot without manual intervention, enabling instant data availability. Scispot also smoothly integrates with leading proteomics analysis software, including MaxQuant, Proteome Discoverer, and Skyline, delivering a streamlined, end-to-end proteomics solution. Additionally, Scispot's flexible API enables quick integration of your custom analytical pipelines and specialized software.

Scispot is purpose-built for the large-scale data management needs of proteomics labs, efficiently handling terabytes of raw mass spectrometry data. The platform organizes and links spectral files, peptide/protein identifications, experimental metadata, and sample information in a unified data lake. With built-in metadata tracking and intuitive querying, Scispot ensures complete data provenance and reproducibility. Its scalable infrastructure adapts effortlessly as your proteomics data volumes grow, providing rapid data access, interactive visualizations, and secure long-term archiving—all optimized specifically for proteomics workflows.

No dedicated IT team is required. Scispot's intuitive, no-code platform empowers proteomics researchers to configure complex workflows, data structures, and instrument integrations quickly through a simple drag-and-drop interface. The platform is easy to set up, allowing lab members to customize proteomics assays, automate mass spec data capture, and manage experimental protocols independently. Scispot's dedicated white-glove support ensures rapid implementation (typically weeks, not months), ongoing optimization, and training—so your team can concentrate entirely on proteomics science, not software administration.

Scispot bridges the gap between experimental proteomics teams and computational analysts through a unified, collaborative workspace. Wet lab scientists can seamlessly document protocols, monitor sample processing steps, and track instrument parameters, while bioinformaticians have immediate access to raw spectral data, quantification results, and analysis outputs within the same platform. Real-time notifications and a dedicated proteomics knowledge graph allow teams to instantly share insights, visualize complex protein interaction networks, and collaborate effectively—accelerating discovery from raw mass spec data to meaningful biological insights.

Yes, Scispot is specifically designed to support advanced proteomics applications. For post-translational modification (PTM) studies, Scispot efficiently tracks enrichment protocols, fragmentation methods, and precise site-localization data. In targeted proteomics (e.g., parallel reaction monitoring [PRM], selected reaction monitoring [SRM]), the platform manages transition lists, calibration standards, and quantitative results, linking them clearly to sample conditions. Scispot’s flexible data structures and no-code workflow engine rapidly adapt to emerging proteomics methods, including top-down proteomics or complex metaproteomics projects, ensuring your lab stays at the forefront of proteomics innovation.

Scispot provides precise control for protein stability through automated alerts and real-time tracking. Users can set custom conditions like temperature thresholds, freeze-thaw cycles, and expiry timelines specific to protein samples. The system maintains parent-child aliquot relationships and tracks locations within freezers, ensuring that proteomics samples maintain optimal conditions from receipt to analysis.

Scispot functions as a scientific data lake house, enabling seamless integration of proteomics data with genomics, metabolomics, and other omics datasets. Through structured JSON formats in a graph database, the system preserves complex relationships and experimental contexts. Researchers can push, pull, and interlink diverse data types for unified, deeper insights across multiple scientific domains.