Pathology Scanner SG300
Fully automated pathology scanner*
  • digital pathology
  • digital pathology
  • Standard product photograph

Pathology Scanner SG300

Fully automated pathology scanner*
SG300 is designed to accommodate laboratories for high volume labs that want to maximize scanner utilization and further reduce the total cost of ownership per slide by means of overnight scanning. With a high throughput, high first time right rate and load and walk away scanning, the SG300 enables you to digitize your histology samples and obtain high quality clinical diagnostic images for routine use and integrated pathology networks.

Clinical image gallery

  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
  • Clinical image digital pathology
    Clinical image digital pathology
Features
3D ready technology
The Pathology Scanner Second Generation hardware solution prepared for multi-layer scanning.
3D ready technology
Affordable total cost of ownership per digitized slide
The SG300 is designed to for medium to large laboratories that are running a traditional workflow with large batches of slides are processed for scanning at a few occasions per day. Offering high image quality, full automation and same first time right rate as the SG60, the SG300 enables high, clinical representative, throughput through it's scan speed, slide handling and non-rectangular ROI optimization. This results in n short turnaround times and a very low total cost of ownership (TCO/slide) as overnight scanning enables high utilization of the SG300.
Affordable total cost of ownership per digitized slide
Automated operation
All Philips scanners are designed for ‘load and walk away’ operation. Anyone in the lab can load slides into the scanner and then the digitization process will proceed automatically. This automated processing is supported by numerous algorithms for detection of tissue, barcode, and coverslip, as well as continuous auto-focusing algorithms used during scanning.
Automated operation


Specifications
  • Pathology Scanner Second Generation
    Slide Capacity
    300
    Scanning method
    TDI line scanning
    Focus method
    Autofocus
    Output format
    iSyntax Philips proprietary file format with either RAW or iSyntax compression
    Slide rack
    Winlab LS-20/ Winlab LSM-20, Sakura 4768 20-slide basket (max. number of slides 20)
    Operating temperature
    10 to 35°C
    Dimensions (LxWxH in mm) doors closed
    680x950x675
    Scan time (excluding handling and pre-scan per slide)
    SG300 ≤ 43 seconds at 40x equivalent (15x15mm scan area)
    Total scan time (including handling and pre-scan) per slide
    SG300 ≤ 62 seconds at 40x equivalent (15x15mm scan area)
    Average percentage of tissue detected and scanned
    ≥ 99.5%
    Power supply
    100-240 V AC, 50/60 Hz, 700 Watt
    Magnification objective
    NA of 0.75 plan Apo
    Pixel size/ resolution
    0.25 μm/ pixel
    Compliance to standards
    • EN IEC 61010-1:2010 /A1:2016, EN IEC 61010-2-101:2018, EN IEC 61326-1:2013 FCC Part 15, The IEC 6132
    • The IEC 61326-2-6 (IVD), IEC 61326-1:2012 IEC 61326-2-6:2012
    Barcode support
    • 1D code type: Code 39 with mod 43 checksum (ISO/IEC 16388:2007)
    • Code 128 (ISO/IEC 15417:2007)
    • 2D code type: Data Matrix ECC 200 - Code 39,
    • Code 128 (ISO/IEC16022:2006) Recommended barcode type for all glass slides.
    Relative humidity (no condensation)
    Between 50% at 40 °C and 80% at 31 °C
    Weight (kg)
    153
    SG connectivity ports
    • Ethernet cable for 10GB (required CAT 6 Cable) / and 1GB/s network cable with RJ45
    • connector (preferable CAT 6)
  • Image Management System Review Application
    Minimal requirements of client computer to run the IMS viewer software
    .
    CPU
    Intel Xeon E5-1620 v3 @ GHz or similar
    RAM
    8 GB physical memory
    Connectivity
    100 Mbit/s Ethernet
    Video card
    • GPU Memory: 4GB GeForce GTX 1050 Ti or similar
    • *Updating the graphics card driver on the client computer to the latest version is recommended.
  • Software requirements on client computer
    Operating system
    Microsoft Windows 8, 8.1 or 10-64 bit
    Browser software supporting HTML 5 standard
    100 Mbit/s Ethernet
    Connectivity
    • Chrome (recommended), Internet Explorer***
    • *** Chrome is required for the feature Use my computer for image processing.
    Video card
    • GPU Memory: 4GB
    • GeForce GTX 1050 Ti or similar*
    • *Updating the graphics card driver on the client computer to the latest version is recommended.
    Other software
    • PDF viewer
    • E-mail client
  • Image Management System Application Server and Storage Software
    CPU
    Dual socket Intel 6-core @ 2.3GHz
    RAM
    32GB
    Storage
    • Protection against a single disk failure, e.g. RAID configuration or data replication.
    • For usage with 5 scanners or more: Flash Disks


Documentation

Product brochure
PDF|1.01 MB
Digital Pathology Brochure
PDF|965.79 KB
Disclaimer
*It has market clearance in EEA (European Economic Area), United Kingdom, Ireland and Singapore. Specific conditions apply to the USA market.
Philips IntelliSite Pathology Solution (PIPS) is in conformance with Regulation (EU) 201 7/746 of the European Parliament and of the Council of 5 April 2017 on In Vitro Diagnostics (IVDR).