Partir de compuestos y candidatos
Conecta contexto de enfermedad, datos existentes, imagen, ómicas e indicadores estructurales para definir eficacia, toxicidad y mecanismo a explorar.
Integrate Analysis System IAS
IAS puede automatizar los procesos manuales desde el inicio hasta el final de I+D.
IAS is not a replacement for every point tool. It is a web-based workflow layer that brings fragmented research data, analysis procedures, review records, and report creation into the same context.
- Absorb format differences
- Standardize analysis steps
- Support collaborative review
Experiment-level integrationConnect imaging, NGS, flow, mass-spec, and molecular structure into one research decision.
IAS es una capa de flujo de trabajo entre herramientas puntuales y LIMS
IAS no sustituye las herramientas específicas de cada modalidad. Conecta datos de experimento, análisis, revisión e informes en una misma superficie de decisión.
- Connect
Agrupar salidas de ensayos
Organiza por experimento salidas de imagen, citometría, genómica, espectrometría de masas y estructura molecular.
- Analyze
Analizar en un entorno
Gestiona métodos de análisis específicos de cada modalidad en el mismo espacio de trabajo y reduce traspasos manuales.
- Link
Conectar evidencia cruzada
Une resultados de varios ensayos en una decisión de investigación para acelerar comparación e interpretación.
- Govern
Crear salidas revisables
Conecta historial de análisis, verificaciones e informes hacia resultados finales reproducibles.
Devolver los objetivos de búsqueda al diseño experimental
IAS no solo muestra resultados; organiza compuestos objetivo, fármacos candidatos, hipótesis, métricas y siguientes condiciones para que informen simulaciones y planes de laboratorio.
Además de mejorar análisis, interpretación e informes, IAS eleva la calidad del diseño experimental y acorta el ciclo desde la búsqueda de candidatos hasta la validación húmeda.
Reflejar hallazgos en simulación y diseño
Devuelve condiciones prometedoras, grupos de comparación y parámetros de medición a la revisión in silico o al siguiente plan experimental.
Reducir el esfuerzo de laboratorio húmedo
Descarta antes condiciones de menor potencial y concentra experimentos, comprobaciones y revisiones en las hipótesis relevantes.
NEW FEATURE
Now supports ChatGPT and LifeAnalytics' proprietary generative AI app
Helping researchers summarize, interpret, and draft reports from complex analysis results through natural language instructions.
LifeAnalytics IAS now supports ChatGPT and LifeAnalytics' proprietary generative AI application. Using research data, analysis history, experiment records, analysis summaries, and report context, IAS helps researchers summarize, interpret, create reports, and draft scientific manuscripts from complex life science analysis results.
IAS supports multiple analysis areas including image analysis, gene analysis, flow cytometry, mass spectrometry, molecular structure analysis, spatial multi-layer multi-omics analysis, and integrated analysis.
- Summarize and interpret results using natural language
- Organize multiple types of life science analysis data
- Support report creation and manuscript draft preparation
Implementación de cinco metodologías representativas de I+D y análisis integrado
IAS gestiona en la nube datos de imagen, citometría de flujo, secuenciación de nueva generación, estructura molecular y espectrometría de masas.
IAS analysis capabilities
Genome Analysis
Visualization, alignment, assembly, and annotation of DNA and protein sequences.
Mass Spectrometry
Acquisition, processing, and analysis of mass spectrometry data, including metabolomics.
Molecular Structure Analysis
High-accuracy prediction of 3D protein structure from amino acid sequences.
Integrated Analysis
AI-assisted discussion reports based on individual analysis results.
Imaging
Image analysis for cells and tissue sections, including 3D, Timelapse, HCS, and pathology.
Flow Cytometry
Flow cytometry analysis such as SPADE, U-MAP, and dot plots.
IAS specification details
IAS Specifications: Analysis Modes, AI Models, and Support Functions
Handle imaging, flow cytometry, genomics, mass spectrometry, molecular structure, and integrated analysis in one research workbench.
IAS is not a single image-analysis application or a collection of isolated point tools. It brings imaging, flow cytometry, genomics, mass spectrometry, molecular structure analysis, integrated analysis, and data management into one research workbench experience.
IAS AI output does not guarantee clinical diagnosis. Interpretation of pathology images, medical images, genomics, molecular structure, and mass-spec results should be combined with specialist review, raw-data inspection, standard methods, and external validation.
Workflow diagramAnalysis mode cards
Each card summarizes inputs, outputs, and review points at a practical evaluation level.
Imaging / DL-ML
- Target data
- Microscopy, pathology, cell, materials, animal time-series, and spatial omics images
- Representative input
- Microscopy, WSI, CT/MRI-like images, timelapse, 3D volume, spatial omics images
- Main output
- Segmentation, ROI analysis, tracking, quantification tables, pathology-support reports
- Review points
- Image quality, ROI settings, mask accuracy, positivity criteria, specialist review
FlowCyto
- Target data
- Flow cytometry and spectral cytometry
- Representative input
- FCS, panel metadata, compensation matrix, gate definitions
- Main output
- Compensation, QC, manual gates, clustering, UMAP/t-SNE, statistics
- Review points
- Compensation, channel names, QC exclusion rules, gate hierarchy, threshold history
Genomics
- Target data
- Sequence analysis, NGS, single-cell, CRISPR, multi-omics
- Representative input
- FASTA, FASTQ, BAM, VCF, H5AD, tabular data
- Main output
- QC, alignment, variants, single-cell clusters, annotations, reports
- Review points
- Genome build, QC, depth, population frequency, reference data, batch correction
MassSpec
- Target data
- MS, MSI, proteomics, metabolomics, lipidomics, DIA, targeted quant
- Representative input
- raw, mzML, mgf, ms2, wiff, peak tables, identification tables, quant tables
- Main output
- Peak detection, identification, quantification, database matching, MSI spatial analysis
- Review points
- QC, blank, batch correction, FDR, standards, retention time, MS/MS evidence
Molecular Structure
- Target data
- Structure prediction, docking, molecular dynamics, function inference
- Representative input
- Sequences, PDB, mmCIF, ligands, complexes, conditions
- Main output
- Predicted and public structures, docking candidates, MD analysis, validation reports
- Review points
- Confidence, pLDDT/PAE, protonation, box, charge, force field, experimental structures
Integrate
- Target data
- Cross-mode integration and decision support
- Representative input
- Mode result tables, HDF5, JSON, CSV, sample IDs
- Main output
- ID mapping, statistical integration, cross-modal relations, Gen Report
- Review points
- Sample ID mapping, missingness, units, batches, correlation versus causation
DB Manage / Sample DB
- Target data
- Data management, metadata, experiment history
- Representative input
- Uploaded files, experiment names, sample tags, analysis history
- Main output
- Input history, file references, mode estimation, re-analysis paths
- Review points
- Sample ID consistency, history, auditability, re-analysis readiness
Analysis-mode details and review points
Long model inventories are grouped by purpose so readers can see how each model is used and what should be checked before interpreting outputs.
Imaging and DL/ML model useMore details
IAS imaging modes cover Tissue, Cell, Material, Semicon, Animal, and ML workflows so teams can choose models by purpose.
Tissue
TissueNet, Foxp3 Spatial, Foxp3 DAB Spatial, Ki67-Br, Pathology, CT/MRI Segment, Spatial Omics, TissueNT2, Thyroid, and Lymph support tissue segmentation, ROI quantification, positivity review, spatial distribution, and multi-channel statistics.
Cell
Cyto, Cyto2, SAM, 2Dtracker, 3Dtimelapse, Nuclei, Nucleus01, Confluency, CM-CellCycle, LiveCell, CP, CPx, TN1-3, LC1-4, Single Cell Protein, 3DVD, LFcell02, and CellPaintingV3 support cell segmentation, tracking, morphology profiling, localization, and state review.
Material / Semicon / Animal / ML
Pore Analysis, Layer, Microridge, Mfiber1, Mfiber2, Wafer, Mouse Dynamics Tracking, and Pixel Classification support pore, layer, ridge, fiber, wafer, animal motion, and user-defined pixel-classification reviews.
Pathology mode: ROI editing, visual similarity, and finding-candidate supportMore details
Pathology mode combines local pathology processing, ROI editing, vision-language assistance, visual similarity, and nuclei/cell segmentation support.
WSI / ROI
OpenSlide, tifffile, OpenCV, and LAB/HSV/RGB Magic Wand support tissue masks, tile heatmaps, overlays, and color-space ROI editing.
AI support
Qwen2.5-VL + LoRA assist, ResNet152 visual similarity, and DeepLIIF biomarker support help generate descriptions, hypotheses, similar-image candidates, and biomarker-support summaries.
Segmentation
checkpoint-gated tumor segmentation, StarDist H&E nuclei, Cellpose-SAM service, and InstanSeg service provide candidate segmentation for tumor regions, nuclei, and cells.
This is not a diagnostic function. Outputs are research and review support for specialist-led pathology review.
FlowCyto: compensation, QC, gates, clustering, and statistics in one flowMore details
IAS connects FCS input, compensation, QC, gates, embedding, clustering, statistics, and reporting.
Compensation / QC
Compensation, spectral unmixing, PeacoQC, DataQC, doublet checks, and margin checks help review spillover, spectral overlap, abnormal events, flow-rate drift, doublets, and margin events.
Gate / Embedding
Gate editor, Boolean gates, UMAP, t-SNE, opt-SNE, and viSNE help preserve manual thresholds and inspect high-dimensional cytometry data.
Cluster / Statistics
FlowSOM, SPADE, CITRUS, population statistics, and marker summaries support population comparison, MFI review, figures, and reports.
Embeddings are visualizations; interpretation should be checked against marker expression and manual gates.
Genomics: sequences, NGS, single-cell, CRISPR, and Multi-OmicsMore details
IAS organizes sequence similarity, alignment, variants, single-cell analysis, reference mapping, and multi-omics evidence by experiment.
Sequence / Variant
BLAST, MSA, Phylogeny, CRISPR, QC & Alignment, Variant Calling, Joint Genotyping, and Annotation connect sequence review to variant and annotation review.
Browser / Single-cell
Genome Browser and Single-cell Async support genomic-region inspection, variants, gene models, normalization, HVG, PCA, clustering, UMAP, and marker detection.
Advanced / Multi-Omics
Harmony, scGPT, cell annotation capability checks, and Multi-Omics connect batch correction, reference mapping, cell-type annotation candidates, expression, variants, phenotypes, and other modes.
Check genome build, QC, depth, population frequency, labeled references, batch effects, missingness, and unit alignment.
MassSpec: peak detection, identification, quantification, MSI, and spectral similarityMore details
IAS connects raw/mzML/mgf/wiff inputs to peak features, identification, quantification, QC, database matching, reports, and multi-omics.
Metabolomics / Lipidomics
MS-DIAL, XCMS, MZmine, MS-FINDER, MS-CleanR, LipidSearch, and LipidBlast outputs are organized for candidate review and quantification.
Proteomics / MSI
MaxQuant, Proteome Discoverer, FragPipe, Mascot, Byonic, Spectronaut, DIA-NN, OpenSWATH, Prosit, SCiLS Lab, Cardinal, MSiReader, METASPACE, and OpenMSI outputs can be reviewed as part of the same workflow.
Target / AI / Multi-omics
MRM/SRM/PRM, MRMProbs, DeepNovo, Spec2Vec, MS2DeepScore, AlphaPept, mixOmics, MOFA(+), DIABLO, and OmicsNet outputs can be tied back to research decisions.
AI candidates should be verified with database matching, standards, MS/MS evidence, FDR, QC, blanks, and batch correction.
Molecular Structure: structure prediction, docking, MD, and validation reportsMore details
IAS helps review the path from Sequence/PDB/Ligand to structure prediction, docking, MD, validation, and reports.
Structure prediction
Monomer and complex structure prediction, public structure retrieval, and pLDDT/PAE review are handled as review inputs.
Docking / MD
GNINA, AutoDock-family, LightDock path, OpenMM, and mdtraj support binding-pose candidates, scores, binding-site review, RMSD/RMSF, interactions, and solvent-condition review.
Validation / Extensions
Validation quality checks, reports, function annotation, spectrum prediction, knowledge graph, QM, and FEP scaffolds help organize quality and extension candidates.
Check confidence, pLDDT/PAE, protonation, box, charge, ligand preparation, force field, solvent, temperature, and simulation length.
Integrate / DB Manage: sample IDs, experiment history, and evidence maturityMore details
IAS connects imaging, genomics, mass spec, flow cytometry, molecular structure, and reports around a consistent sample ID.
Mapping
sample ID and provenance mapping connect sample IDs, experiments, files, and preprocessing history across modes.
Statistics / Cross-modal
compute-statistics, random-effects meta-analysis, and cross-modal review connect effect sizes, confidence intervals, heterogeneity, imaging features, gene expression, metabolites, and population ratios.
Report / DB
Gen Report, report history, evidence maturity, DB Manage, and Sample DB help preserve report context, input history, file references, mode estimation, and re-analysis paths.
For clinical research support, keeping the same sample ID across Imaging, Genomics, MassSpec, and FlowCyto is critical.
Support functions: Support Chat, Patho Chat, and Q&A HelpMore details
Support functions reduce uncertainty during analysis by connecting operation guidance, knowledge search, ROI questions, and help dialogs.
Support Chat
Support Chat connects operation guidance, inquiry handoff, knowledge search, and AI-answer support for Imaging, Genomics, FlowCyto, Molecular, MassSpec, and Integrate.
Patho Chat / ROI Pathology Chat
Patho Chat combines ROI crops, feature extraction, similarity candidates, and Qwen-family LLM support to provide finding candidates, differential candidates, and suggested checks under pathology-specialist review.
Q&A / Help
Q&A icons and Help screens reduce operation mistakes through tooltips, Quick Start, Help dialogs, shortcut explanations, and Support Chat / Patho Chat visibility controls.
Patho Chat does not replace pathology review. Outputs are confirmation support and hypothesis-generation support for selected ROIs.
Five points to check during IAS evaluation
- Input typeWhether images, FCS, FASTQ/BAM/VCF/H5AD, mzML/raw, PDB/mmCIF, or integrated tables fit the target mode.
- Model or engine purposeWhat segmentation, tracking, annotation, clustering, docking, MD, or spectral matching output actually means.
- Output unitWhether the output is ROI, cell, nucleus, population, variant, peptide/protein, metabolite/lipid, structure, or cross-sample statistics.
- Validation itemsWhether QC, thresholds, confidence, FDR, reference databases, external standards, and specialist review remain visible.
- Support functionsWhether Support Chat, Patho Chat, and Q&A / Help give the right workflow guidance in context.
Check IAS fit with your own data
Your target data, analysis problem, and evaluation timing do not need to be fully organized. We can review the appropriate analysis modes and implementation path with you.
Demo consultationCobertura integral de métodos analíticos en investigación básica
Los métodos de investigación básica se unifican para que los equipos trabajen con flujos reproducibles en el mismo entorno.
Desarrollo adicional de IA propia y funciones
Añadimos IA y funciones de análisis adaptadas a sus objetivos para automatizar todo el proceso de investigación.
Características de la plataforma IAS
Coordinar y gestionar todo el laboratorio
Gestione datos, análisis e informes en un único sistema web.
Sistema web completo
Use la misma plataforma en colaboración y entornos remotos sin instalación local.
Soporte 24 horas mediante chat
Facilita preguntas y comprobaciones durante el análisis.
Gestión robusta de datos
Diseñado para gestión de datos, prevención de fugas y necesidades regulatorias.
Sugerencias de IA generativa
Ayuda a descubrir puntos relevantes en imágenes y resultados.
Compatibilidad con más de 400 formatos
Integra diversos formatos usados en entornos de investigación.
Opiniones de usuarios
Trabajo analítico estandarizado
Los procedimientos especializados se comparten con más facilidad y mejoran la reproducibilidad en colaboración remota.
Eficiencia en todo el laboratorio
La gestión central de múltiples formatos reduce el tiempo de análisis y elaboración de informes.
Compatibilidad con más de 400 formatos
Admite formatos únicos de imagen y análisis, y funciona como sistema integrado de análisis de datos.
Ejemplos de formatos de datos compatibles
Microscopy and bioimagingRepresentative research image formats from OME-TIFF, confocal, slide scanners, and electron microscopy.
- .ome.tiff
- .ome.tif
- .ome.xml
- .czi
- .lsm
- .lif
- .nd2
- .oib
- .oif
- .oir
- .vsi
- .svs
- .ndpi
- .qptiff
- .dm3
- .dm4
- .mrc
- .mrcs
General image, video, and documentsCommon image, video, tabular, HTML, and XML files used before and after analysis.
- .tif
- .tiff
- .png
- .jpg
- .bmp
- .gif
- .avi
- .mov
- .csv
- .txt
- .xml
- .html
- .h5
- .hdf
NGS and genomicsSequence, alignment, variant, and array-related data organized by experiment.
- fastq
- fasta
- bam
- vcf
- cel
- chp
- arr
- idat
Flow cytometry and qPCRCell population analysis, digital PCR, and instrument outputs with experiment metadata.
- stilla
- rdml
- .pnl
- .rdpnl
- .exp
- .xml
- .csv
Mass spectrometry and chromatographyRaw data, converted data, and vendor formats used around mass spectrometry analysis.
- mzml
- raw
- wiff
- d
- .spc
- .std
- .dat
- .res
Molecular structure, materials, and QCMolecular structure, materials observation, semiconductor, and quality-control inspection outputs.
- .cif
- sdf
- qip
- eds
- lmd
- .sxm
- .afm
- .stp
- .map
- .rec
Consúltenos también por formatos que no figuran en la lista.
Compatibilidad con gestión de datos, prevención de fugas y regulación
Apoya la gestión de datos considerando 21 CFR Part 11 y otros requisitos.
Herramientas de visualización ricas
Permiten revisar resultados de análisis de forma intuitiva.
Borradores de informes y artículos
Ayuda a crear informes y manuscritos a partir de resultados.
Automatización completa del laboratorio
Conecta análisis, gestión e informes para mejorar todo el flujo del laboratorio.
Ejemplos de aplicaciones
Each card separates the input data, the outputs IAS organizes, and the research decision it supports. Flow Cytometry, NGS, Molecular Structure, and MassSpec are treated as first-class analysis modes alongside Imaging.
Analogía de eficacia y toxicidad desconocidas
Para descubrimiento de fármacos, toxicidad y exploración
IA infiere eficacia y toxicidad desconocidas al vincular parámetros específicos e información de enfermedades con más de 1000 parámetros de medición, más de 100 000 células y extracción de orgánulos.
- Inputs
- HCS images, Cell Painting images, tissue or cell images, treatment conditions
- Outputs
- Morphology features, clusters, regions of interest, compound and disease similarity
- Decision use
- Prioritize candidate compounds, flag toxicity signals, and plan follow-up conditions
Producción celular
Para terapia génica y células iPS
Soporta de extremo a extremo los procesos que requieren evaluación visual de aceptación desde I+D hasta producción y control de calidad de Stem Cells e iPS.
- Inputs
- FCS files, panel definitions, gating conditions, sample groups
- Outputs
- Population ratios, gate-level comparisons, abnormal population candidates, QC summaries
- Decision use
- Review cell-production lots, compare immune response, and catch quality drift earlier
Seguimiento dinámico y análisis de comportamiento grupal en animales pequeños
Para ratones y modelos similares
Permite seguir cuerpos y extremidades de animales pequeños y analizar el comportamiento grupal sin verse afectado por día/noche o diferencias de pelaje.
- Inputs
- FASTQ/BAM/VCF files, expression tables, sample attributes, phenotype context
- Outputs
- Variant candidates, expression changes, annotations, cross-sample review views
- Decision use
- Shortlist genes, interpret group differences, and choose follow-up validation targets
Molecular Structure: 3D structure comparison
Proteins, materials, and structural evaluation
Manage 3D structures, segmented regions, features, and candidate models so structural differences and regions of interest are easier to compare.
- Inputs
- PDB/mmCIF files, predicted structures, binding sites, candidate molecules or materials
- Outputs
- Structure overlays, difference regions, binding-site notes, comparison reports
- Decision use
- Review structure hypotheses, compare candidates, and prepare docking or materials evaluation
MassSpec: Spectral peak interpretation
Metabolites, quality evaluation, and component comparison
Manage spectra, peaks, sample conditions, and comparison groups to support component review, quality differences, and reporting.
- Inputs
- mzML/mzXML files, peak lists, sample conditions, comparison groups or lots
- Outputs
- Peak candidates, component comparisons, quality differences, report annotations
- Decision use
- Confirm metabolite candidates, understand lot differences, and organize quality evidence