Accelerate your science with expert Revvity Signals solutions
Managing experimental data is complex. The right informatics solution makes all the difference. Since 2018, Karchem Consulting has partnered with over 50 life sciences organizations, from early-stage startups to established companies, to evaluate, implement, and manage ELN/LIMS systems that fit the way their teams actually work.
As a Revvity Signals Professional Services Partner, we offer deep expertise across the full Signals ecosystem. From platform configuration and data migration to workflow automation, instrument integration, and HELM monomer curation for complex biomolecule design, our consultants bring relevant scientific backgrounds to every engagement, so whether you need to supplement your existing informatics team or build a solution from the ground up, we deliver expert support tailored to your lab's needs.
-
Configure user roles, permissions, project workspaces, and system settings to reflect your organization's structure and workflows.
-
Establish platform governance, security, and integration frameworks to support scalable scientific collaboration.
-
Configure Inventory and Materials Management within Signals Notebook to track reagents, compounds, biological samples, and consumables throughout the laboratory lifecycle.
-
Standardize materials registration with unique barcodes and link each container to its registered material.
-
Define and enforce location hierarchies (e.g., freezers, shelves, grid positions) and track container status and movement across the lab for real-time traceability.
-
Automate lifecycle monitoring, including low-stock alerts, expiration tracking, and material usage analytics.
Scientific Workflow Design and Research Optimization
-
Design end-to-end research workflows that connect molecular design, experiment execution, and results capture within the Signals ecosystem.
-
Enable biomolecule and chemical design workflows using Signals BioDesign, Signals ChemDraw, and Signals Xynthetica.
Analytics, Visualization and Insights (Spotfire + Signals)
-
Develop advanced analytics and visualization using Spotfire integrated with Signals Notebook.
-
Create dashboards to monitor experimental results and operational metrics, enabling data-driven decision-making across R&D teams.
Data Modeling, Implementation and Migration
-
Design structured data frameworks, including schemas and experiment templates, within Signals to support consistent data entry, searchability, and long-term scalability.
-
Plan and execute data migration from legacy ELN/LIMS platforms into Signals with minimal disruption to ongoing research.
HELM Monomer Curation and Polymer Informatics
-
Curate and manage custom monomer libraries using HELM notation to support modified nucleotides, amino acids, linkers, and other non-standard building blocks.
-
Define monomer structures, attachment points, and polymer rules to enable accurate representation of complex biomolecules.
-
Support HELM-based sequence representation and registration workflows for oligonucleotide and polymer therapeutics.
Lab Automation and Instrument Integration
-
Leverage Signals DLX to connect laboratory instruments, LIMS, and other critical lab systems with Signals Notebook to enable automated, bidirectional data capture and eliminate manual entry.
-
Transform raw instrument outputs (CSV, XML) into structured records and develop automated data pipelines for sequencing, analytical chemistry, and screening workflows.
-
Build custom integrations using the Signals REST API to connect Signals Notebook with LIMS, ERP, and registration systems.
Training, Governance and Advisory Services
-
Onboard and train end users to client-specific workflows and system configurations.
-
Configure Signals Synergy and onboard external CRO/CDMO partners for secure R&D data exchange.
-
Establish lab notebook governance frameworks for regulatory compliance, audit-readiness, and FAIR data principles.
-
Coach teams on best practices for e-signatures, change management, and SDLC within Signals.
-
Analyze how Revvity Signals fits within your broader data architecture and identify key integration points.
