SciSure is a Scientific Management Platform built to support the full range of laboratory operations for scientific organizations. It combines ELN, LIMS, and Health & Safety functionality, giving teams a single system to document experiments, track sample lineage, manage chemical inventory, and run structured, audit-ready compliance processes.
Instead of relying on disconnected systems, organizations get one governed platform that improves reproducibility, increases visibility into lab operations, and reduces risk as they scale.
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Highcharts, a Javascript-based charting library, makes it easy to add interactive charts and graphs to web or mobile projects of any size.
Highcharts is used by more than 80% of the 100 biggest companies in the world, as well as thousands of developers from a variety of industries, including finance, publishing, application development, and data science.
Highcharts is in active development since 2009. It remains a favorite among developers due to its robust feature set and ease-of-use documentation, accessibility features and vibrant community.
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Claude Science
Claude Science is an AI-powered research environment that enables scientists to perform data analysis, computational research, literature review, and scientific writing from a single integrated application. Rather than serving as a standalone language model, the platform combines Claude's AI capabilities with scientific databases, laboratory tools, high-performance computing resources, and research software to support complete scientific workflows. Researchers can analyze datasets, generate publication-quality figures, explore hypotheses, review literature, and prepare manuscripts while maintaining complete reproducibility for every result. The application automatically records the code, computational environment, and conversation behind each artifact, allowing analyses to be reproduced, validated, edited, or expanded long after the original work is completed. Claude Science supports scientific disciplines including genomics, single-cell sequencing, proteomics, structural biology, cheminformatics, and other computational research fields through specialized workflows and database integrations. The platform operates across local computers, Linux systems, remote servers, and HPC environments while managing the computational infrastructure needed for each analysis. Built-in connectors allow laboratories to integrate internal APIs, electronic lab notebooks, custom pipelines, and scientific software into existing research environments. Scientists can continue using their established workflows while adding AI-powered automation, reasoning, and computational assistance where it provides the greatest value.
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FigEditor
FigEditor is an innovative AI tool designed to transform research concepts, initial sketches, references, and existing graphics into refined, editable illustrations suitable for academic papers, posters, and presentations. Users can begin by providing a descriptive text prompt about a mechanism, pathway, workflow, experiment, or architectural design, and they also have the option to upload a rough drawing or a reference image to inform aspects such as composition, color scheme, density, and visual organization. The platform generates a well-structured draft that includes clear labels, arrows, and an orderly layout, allowing researchers to modify text, shapes, colors, connectors, modules, and specific areas without needing to recreate the entire figure from scratch. Additionally, previously created PNG or JPG images can be converted into vector formats, enabling further manipulation. The process employed by FigEditor involves a comprehensive multi-step pipeline that not only generates an initial draft but also identifies visual components, extracts clean assets, constructs a cohesive SVG, and finalizes the vector output through refinement. This systematic approach ensures that users have a versatile tool at their disposal for producing high-quality scientific illustrations that enhance their presentations. Overall, FigEditor streamlines the creation of scientific visuals, making the process more efficient and accessible for researchers.
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