Botanischer Garten und Botanisches Museum, Berlin-Dahlem Botanischer Garten und Botanisches Museum, Berlin-Dahlem

Specimen imaging at the Herbarium Berolinense (B)

Hardware equipment for specimen imaging at B

Currently we are digitizing on three separate workstations

Scan cameras equipment:

Scan equipment
  • Two Pentacon Scan 5000 (body) cameras with max. resolution 8192 x 12000 (depending on lens), trilineare CCD-lines, colour depth 3 x 12 Bit
    • Lens: Schneider Kreuznach APO COMPONON HM 4,0/60 (provides maximum resolution)
    • Camera mounting system: with integrated transmitted light source. Transmitted light base with four 13 W daylight fluorescents 5400 K, illuminated area 43 x 35 cm (16.9 x 13.8 in.). Illuminance 3300 cd/m2., Column height: 1 m (40 in.) , metal plate with magnets
    • camera 1) Lighting equipment: Fa. Kaiser Fototechnik, 2 lamps: 4 x 36 w each, daylight fluorescent lamp 5400 K, CRI = 90-100, light emitting area approx. 50 x 21 cm (19.7 x 8.3 in.)
    • camera 2) Lighting equipment: Fa. Kaiser Fototechnik, 2 lamps: 2 x 55 w each, daylight fluorescent lamp 5400 K, CRI = 90-100, light emitting area approx. 64 x 21 cm (25.2 x 8.3 in.)
  • One Pentacon Scan 6000 camera (body) with max. resolution 10600 x 10600 (depending on lens), trilineare CCD-lines, colour depth 3 x 12 Bit
    • Lens: Schneider Kreuznach APO COMPONON HM 4,0/60 (provides maximum resolution)
    • Camera mounting system: with integrated transmitted light source. Transmitted light base with four 13 W daylight fluorescents 5400 K, illuminated area 43 x 35 cm (16.9 x 13.8 in.). Illuminance 3300 cd/m2., Column height: 1, 50 m , metal plate with magnets
    • Lighting equipment: Fa. Kaiser Fototechnik, 2 lamps: 2 x 55 w each, daylight fluorescent lamp 5400 K, CRI = 90-100, light emitting area approx. 64 x 21 cm (25.2 x 8.3 in.)

Digitizing workstations and software:

  • Intel Core2Duo 6300
  • 2 GB RAM
  • 160 GB hard disk
  • 512 MB Graphic Card
  • MS Windows XP
  • Adobe Photoshop CS3
  • MS Access 2003
  • Silverfast AI

Digitizing infrastructure

  • Database server
    • Dual Intel Xeon processor
    • 4 GB RAM
    • SATA hard disks
    • MS Windows Server 2003
    • MS SQL Server 2005
  • Image server (publishing the fpx files for the WWW
    • Intel P4 3 GHz
    • 1 GB RAM
    • 400 GB hard disk
    • Redhat Linux
    • Apache 1.3
    • TrueSpectra Imageserver 4.1
    • Neptune Labs ZoomCache Server
  • Storage server for images
    • Dual Intel Xeon processor
    • 2 GB RAM
    • three external raid 6 systems with a capacity of 9 TB over SCSI and ISCSI
    • MS Windows Server 2003
    • MS Access 2003
    • ThumbsPlus
  • Web publishing server
    • HP Server LPR 2000
    • 1 GB RAM
    • three 36 GB SCSI hard disks as raid 5
    • MS Windows 2000 Adv. Server
    • IIS 5
    • Adobe ColdFusion MX
    • Neptune Labs FSIViewer
  • Backbone
    • 3 GBit in-house backbone
    • 1 GBit server connection to the backbone
    • 1 GBit connection to the internet

Digitizing process:

  • Specimen data inserted via MS Access client in our MS SQL database
  • Herbarium sheet is scanned via Silverfast in Photoshop
  • Adjusting contrast and brightness
  • Image saved as an uncompressed tiff file with ~ 250 MB, using the object barcode as filename
  • Nightly cron job converts the tiff file to
    • fpx file; ~ 70 MB
    • jpg file; ~ 2-3 MB
    • jpg thumb file; 20 KB
    • zip file from tiff; ~ 160 MB
  • ThumbsPlus scans for updates in the fpx file directory tree and insert the image metadata in our database where it is connected via the filename (barcode) with the specimen data also containing the barcode
  • The specimen data is published with a Adobe ColdFusion MX driven website
  • Serving the fpx images with the TrueSpectra Imageserver by using the Neptune Labs FSIViewer as an flash interface for image handling See flash film...
  • By using the Neptune Labs ZoomCache server every request to an image area is cached and will be served from this cache when it is requested again

Additional informations:

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