
Flow Cytometer Acquisition and Control Software
流式细胞仪采集与控制软件
- ISO 13485 software lifecycle (to be confirmed)
- +2
Welcome to Lab Manufacturers China — laboratory instruments direct from a Chinese manufacturer

云端流式细胞术数据管理平台
Price on request — FOB / CIF quoted per order
Prices depend on configuration, quantity and destination port.
| Deployment | SaaS or private cloud |
|---|---|
| Access method | Web browser (HTTPS) |
| Supported file formats | FCS 2.0–3.2, CSV |
| Encryption | TLS 1.2+ in transit, AES-256 at rest |
| Storage model | Per-TB subscription |
| Authentication | Role-based, SSO optional |
By Lab Manufacturers China Technical TeamLast reviewed Standards: ISAC FCS 3.1 data standard, ISAC FCS 3.2 data standard, ISAC MIFlowCyt
A cloud-based cytometry data management platform stores FCS files, panels and analysis results in a central web-accessible repository. It supports collaboration, automated pipelines, access control and multi-site standardization, and suits consortia, contract laboratories and groups sharing data across locations.
A cloud-based cytometry data management platform stores FCS files, panels and analysis results in a central web-accessible repository. It supports collaboration, automated pipelines, access control and multi-site standardization, and suits consortia, contract laboratories and groups sharing data across locations.
Cloud platforms move cytometry data from local workstations to a secure online repository with versioned storage, metadata tagging and search by experiment, panel, sample or donor. Instruments or watch folders upload FCS files automatically, and web-based analysis tools let collaborators review gates and plots without installing software. Shared templates, automated gating pipelines and quality dashboards standardize analysis across sites and track instrument performance over time. Role-based access, encryption in transit and at rest, and regional data residency options address security and privacy requirements, and integration via APIs links to LIMS or statistical environments. Large datasets require sufficient upload bandwidth, and laboratories must confirm that the provider meets data protection laws and validation needs. Subscription pricing is typically based on storage volume and users.
Cytometry software handles three stages. During acquisition it configures detector voltages, thresholds and gains, triggers on defined parameters, and writes each event's scatter and fluorescence values to list-mode FCS files with metadata. Analysis software then applies compensation or spectral unmixing to correct spillover, transforms data with logicle or biexponential scales to display negative values, and lets users draw hierarchical gates on histograms and dot plots to define populations. It calculates statistics such as percent parent, median fluorescence intensity and coefficient of variation. High-dimensional tools add dimensionality reduction with tSNE or UMAP and unsupervised clustering with algorithms such as FlowSOM or PhenoGraph. Regulated platforms add user authentication, audit trails, electronic signatures and validated templates.
A typical cloud-based cytometry data management platform configuration offers deployment of SaaS or private cloud, access method of Web browser (HTTPS), supported file formats of FCS 2.0–3.2, CSV, encryption of TLS 1.2+ in transit, AES-256 at rest, storage model of Per-TB subscription and authentication of Role-based, SSO optional. Values are indicative of the product class; the exact figures for each configuration are confirmed on the quotation and the calibration documents supplied with the instrument.
The Cloud-Based Cytometry Data Management Platform is used in multi-site clinical trial data, contract research organization projects, core facility data archiving, collaborative consortia studies and instrument performance monitoring across sites. Across the wider Cytometry Software class, laboratories also deploy it for instrument acquisition and quality control, offline flow data analysis and reporting and high-dimensional immune profiling.
Relevant standards and methods include ISAC FCS 3.1 data standard, ISAC FCS 3.2 data standard, ISAC MIFlowCyt, 21 CFR Part 11, EU GMP Annex 11, GAMP 5 and CLSI H62. Certification candidates for this model are ISO/IEC 27001 information security, SOC 2 and GDPR compliance; each is to be confirmed for the specific configuration before shipment, and certificates are supplied only where they have been issued.
Install acquisition software only on the validated workstation supplied or approved for the cytometer, with operating system updates under change control. Back up FCS data to network storage on a schedule and follow the MIFlowCyt guideline to record experiment metadata for reproducibility. Validate compensation matrices with single-stain controls and review gating strategies with fluorescence-minus-one controls. Standardize gating templates across users to reduce analyst variability. For regulated work, perform installation, operational and performance qualification, lock methods and templates, and review audit trails periodically. Keep license keys and software versions documented, and confirm that exported data remain readable in future software releases.
Choose a cloud platform for multi-site collaborations, central archives and standardized pipelines, and verify data protection and validation requirements first. Isolated single-lab workflows may be better served by local storage. In an RFQ specify storage volume, user counts, security certifications, region, API needs and upload bandwidth.
Select software according to the task and the regulatory environment. Confirm instrument compatibility first, since acquisition software is tied to a specific cytometer and firmware. For analysis, verify support for FCS 2.0, 3.0, 3.1 and 3.2 files, compensation and unmixing matrices, batch processing and export of publication-quality graphs. For high-dimensional work, check for built-in tSNE, UMAP, FlowSOM and integration with R or Python. Regulated laboratories need 21 CFR Part 11 or equivalent functionality, meaning audit trails, electronic signatures, role-based access and validation documentation. Consider licensing model, including perpetual, subscription, floating or site licenses, data storage and cloud options, operating system support, and whether technical support and training are available locally.
| Deployment | SaaS or private cloud |
|---|---|
| Access method | Web browser (HTTPS) |
| Supported file formats | FCS 2.0–3.2, CSV |
| Encryption | TLS 1.2+ in transit, AES-256 at rest |
| Storage model | Per-TB subscription |
| Authentication | Role-based, SSO optional |
| Automation | Gating pipelines and scheduled QC |
| Integration | REST API, LIMS |
| Data residency | Selectable region |
| Recommended upload bandwidth | At least 50 Mbps |
Indicative values for this product class. Final specifications are confirmed on the quotation and in the calibration documents supplied with the instrument.
Central storage with metadata search, automatic upload, shared templates and web access reduce data loss and analysis variability across sites. Collaborators can review gating without installing software, and automated pipelines standardize processing for large studies.
It can be, when the provider offers encryption, access control, audit logs, regional data residency and certifications such as ISO 27001. Laboratories remain responsible for patient privacy rules such as GDPR and must assess the provider through a documented supplier audit.
A typical FCS file is 10 to 500 megabytes depending on event count and parameters, so a 96-well plate can reach tens of gigabytes. Planning for storage tiers, archiving and upload bandwidth is necessary for long-running studies.
It controls the instrument during acquisition, records each event to FCS files, and then supports analysis by compensation, gating, statistics and plotting. Advanced software adds dimensionality reduction, clustering and batch processing, and regulated packages add audit trails and electronic signatures.
FCS is the Flow Cytometry Standard defined by the International Society for Advancement of Cytometry. It stores list-mode event data and metadata such as parameters, voltages and compensation in a single file, with versions 3.0, 3.1 and 3.2 in current use.
You need it when electronic records support regulated decisions, such as GMP release testing or clinical trial submissions to the FDA. Compliance requires audit trails, electronic signatures, access control and validation, and the lab's procedures must also support these controls.

流式细胞仪采集与控制软件

离线流式细胞术数据分析软件

高维流式数据分析软件

符合 21 CFR Part 11 的临床流式细胞术软件

荧光素偶联单克隆抗体检测组合试剂