2. Capturing the ResultsCapturing the Results
Tissue based assays generate
large amounts of image data.
Converting images into
STANDARDIZED numerical
values is critical.
Automation of “image capture
and analysis” of primary
importance.
4. Automated Image Capture and AnalysisAutomated Image Capture and Analysis
A walk-away “microscope”
Reads and analyzes 50
slides
Can automatically find
tissue on the slide and then
take images
Can convert images into
numbers
For analyses of single
tissue sections (I and G)
For rare cell detection (I)
For imaging of TMAs (G)
Vision
5. FeaturesFeatures
Digital capture
Live-view observation
Magnification (2 to 40x)
Autoloading (50 slide capacity)
Batch scan mode
Single tissue scans
Scoring and reporting flexibility (images, %I, %P,
area, length, hot spots, histograms)
Rare cell analysis
Tab delimited data exportability
Random Access: Any slide, any protocol.
6. Vision Hardware SpecificationsVision Hardware Specifications
Slide handling
50 slide random access autoloader with integrated barcode reader with >100
linkable protocol barcodes
Imaging platform
Brightfield microscopy. Automated BX-series microscope with motorized X-Y-Z
stage (scanning speed - 0.3 seconds/field with sub-micron resolution) and
joystick control. Plan achromatic 2x, 4x, 10x, 20x (40x optional) lenses
Camera
DVC 1.4 megapixel (1330 x 1030 pixels) CCD digital camera; 10 bits/color
channel (30 bits 3-color)
Imaging parameters
Pixel size field of view scanning time
2x lens 3.33 µm/pixel 4.2 mm x 3.4 mm ~ 10 sec. (2cm x 2cm)
4x lens 1.66 µm/pixel 2.1 mm x 1.7 mm ~ 40 sec. (2cm x 2cm)
10x lens 0.66 µm/pixel 0.85 mm x 0.67 mm ~ 4 min. (2cm x 2cm)
20x lens 0.33 µm/pixel 0.42 mm x 0.34 mm ~ 16 min. (2cm x 2cm)
40x lens 0.16 µm/pixel 0.21 mm x 0.17 mm ~ 64 min. (2cm x 2cm)
File sizes
JPEG image: ~150 kb; TIFF image: ~8 mb; complete ivision result file: ~300mb
7. iVision Software: Single Tissue ScansiVision Software: Single Tissue Scans
Steps:
1. Enter Slide and batch info
2. Scan
3. Open Results
4. Analyze Results
5. Export Results to Report
16. iVISION: Annotate an imageiVISION: Annotate an image
Breast CarcinomaBreast Carcinoma
ER-, PR-, HER-2 +ER-, PR-, HER-2 +
HER-2 FISH inconclusiveHER-2 FISH inconclusive
23. Imaging Tissue ArraysImaging Tissue Arrays
Biggest bottleneck is Imaging
The GenoMx Vision
•can automatically find tissue elements
on a slide
•can semi-automatically map the tissue
elements
•can capture each element as a
separate image
•can convert images into hard
numbers
A1
A2A3 A4
B1B1
B1 B1
•Intensity of stained
and unstained
•Proportion of cells
with staining
24. GenoMx VISION: Tissue array scansGenoMx VISION: Tissue array scans
The most rapid high-resolution imager for
Tissue arrays (0.3sec/field)
Will identify tissue array elements of any
size at any density <1200 elements/slide.
Will map the tissue array elements
automatically!
Will quantitate all the tissue array
elements and generate a report
automatically
Will produce image files (JPEG or TIFF)
for all the elements on a TMA
36. Vision: Future DirectionsVision: Future Directions
Fluorescence
imaging (multiple
analytes)
Flexible data
management via
Filemaker
Remote/Satellite
stations for analysis
of archived results
37. Analyzing 1 TMA slideAnalyzing 1 TMA slide
Type Name Here
Type Title Here
Load Slide
(Label to right)
Type Name Here
Type Title Here
Start Genomyx
Run Calibration
38. CompetitionCompetition
Features BioGenex Bacus Lab ChromaVision Applied Imaging Aperio/Dako
Digital/Color Yes/Yes Yes/Yes No/Yes No/No Yes/Yes
Sens/Resol 1.1 B/1.3M 16.8 M/1.3 M 16.8 M/0.3 M 16.8 M/0.3 M 16.8 M/1.3 M
Slide/Access 50/All 1/1 100/4 50/All 1/1
Bar Code Yes No Yes No No
Bright/Fluo Yes/Yes* Yes/No Yes/No Yes/Yes Yes/No
Speed/Size 8 min/1.5 GB ~2 hr/4.5 GB ~ 1/2 hr/1.5 GB .. ..
(200 Core 0.6 TMA)
*In development
Flex Report Yes No No .. ..
TMA Yes Yes Yes .. ..
Auto Map Yes No No .. ..
Core List Yes No No .. ..
Core Scan Yes No No .. ..
Flex Protocols Yes No No .. ..