WinDIAS provides high speed measurement and analysis of leaf area and leaf features, making it the ideal tool for plant pathology applications.

The WinDIAS system offers specialized image analysis features suitable for a wide range of applications in the plant sciences. It is specially suited to applications that need high color discrimination, for example in plant pathology. It provides a full set of measurement statistics, and can process up to 800 leaves per hour using the conveyor belt option. The WinDIAS components include a choice of high resolution color USB video cameras with a lightbox and overhead lighting rig to ensure good contrast and color rendition, or alternatively an A4 scanner with excellent depth of field.

For reporting and further analysis, all results and images from WinDIAS are easily exchanged with other Windows applications.

Rapid thresholding: Three thresholds can be set, each based on a different user-defined range of colors. The primary threshold is used for the main zones of interest in the image, e.g. healthy areas. The secondary and tertiary thresholds are used for other zones, e.g. diseased areas. Thresholds are set by a simple point and click with the mouse in a region of interest. The areas included are immediately visible as overlays on the image.

Editing: Images can be edited on-screen to retouch boundaries, separate objects that overlap, remove undesirable "noise" and holes, add or erase lines or rectangles, and fill bounded areas in any color.

Measurement: WinDIAS analyzes the thresholded regions to measure area, perimeter, length, width, circularity, elongation and shape factor. A correction factor can be applied to estimate the surface area (of pine needles for example) from the projected area. Calibration is carried out against a ruler.

Object count: Seeds, needles, or other small objects can be quickly counted by WinDIAS. Color thresholding enables easy discrimination of different types of object, or disease spots. Dust and debris can be excluded by defining a minimum object area.

Exchange of data and images: WinDIAS imports images in .bmp, .jpg and .tif formats, and results can be saved as .txt files for easy import into Excel.

Features

  • Measures healthy, diseased and pest-damaged leaf area
  • Advanced leaf area meter
  • Also measures perimeter, length, width, object count and more
  • Optional conveyor for high throughput
  • Ideal for phenotyping applications
Throughput (leaves/hour) ~50 (typical, depends on leaf size)
Resolution 1200 dpi max
Minimum object size ~ 0.02 mm
Maximum sample area 297 x 210 mm (A4)
Accuracy
area measurement[1]
± 1% typical
Accuracy
diseased/healthy area
contrast dependent
Accuracy
long leaf mode
not applicable
Color depth WinDIAS works in 24 bit color space (16 million colors)
Image file formats .jpg, .bmp and .tif
Operating system and drivers Windows: XP, Vista, 7, 8 (32 & 64 bit)
Calibration
static measurements
against an object of known length, e.g. a ruler
Calibration
conveyor measurements
not applicable
Conveyor belt speeds not applicable

[1] For very small areas, approx less than 200 pixels across, accuracy will become dominated by the pixel resolution error on the perimeter. This may be calculated as approximately one half the area of all pixels on the perimeter divided by the total number of pixels in the object. Specifications apply to a WinDIAS system using standard components supplied by Delta‑T Devices. Use of other cameras, lighting systems or camera stands may reduce accuracy due to reflections, poor contrast or image distortion.

Throughput (leaves/hour) ~150
Resolution 2048 x 1536 pixels
Minimum object size 1 pixel
Maximum sample area 300 x 295 mm
Accuracy
area measurement[1]
± 4% typical
Accuracy
diseased/healthy area
contrast dependent
Accuracy
long leaf mode
not applicable
Color depth WinDIAS works in 24 bit color space (16 million colors)
Image file formats .jpg, .bmp and .tif
Operating system and drivers Windows: XP, Vista, 7, 8 (32 & 64 bit)
Calibration
static measurements
against an object of known length, e.g. a ruler
Calibration
conveyor measurements
not applicable
Conveyor belt speeds not applicable

[1] For very small areas, approx less than 200 pixels across, accuracy will become dominated by the pixel resolution error on the perimeter. This may be calculated as approximately one half the area of all pixels on the perimeter divided by the total number of pixels in the object. Specifications apply to a WinDIAS system using standard components supplied by Delta‑T Devices. Use of other cameras, lighting systems or camera stands may reduce accuracy due to reflections, poor contrast or image distortion.

Throughput (leaves/hour) ~800
Resolution 1280 x 1024 pixels
Minimum object size 1 pixel
Maximum sample area 250 x 290 mm (conveyor)
250 x >1000 mm (long leaf mode)
Accuracy
area measurement[1]
± 4% typical
Accuracy
diseased/healthy area
contrast dependent
Accuracy
long leaf mode
± 5% typical
Color depth WinDIAS works in 24 bit color space (16 million colors)
Image file formats .jpg, .bmp and .tif
Operating system and drivers Windows: XP, Vista, 7, 8 (32 & 64 bit)
Calibration
static measurements
against a ruler
Calibration
conveyor measurements
against a target of known area
Conveyor belt speeds 60/100/140/190 mm/s (20% faster for 60 Hz model)

[1] For very small areas, approx less than 200 pixels across, accuracy will become dominated by the pixel resolution error on the perimeter. This may be calculated as approximately one half the area of all pixels on the perimeter divided by the total number of pixels in the object. Specifications apply to a WinDIAS system using standard components supplied by Delta‑T Devices. Use of other cameras, lighting systems or camera stands may reduce accuracy due to reflections, poor contrast or image distortion.