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產品資訊

Advanced Dynamic Weight Bearing Test 小動物動態四肢負荷偵測儀

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廠牌名稱:
Bioseb最新推出的改良型小動物動態四肢負荷偵測儀,同時使用了底板的壓力感測器及來自上方攝影機的動作數據來做演算,在動物自由探索箱內環境時,即可提供您快速、自然、準確且詳細的即時四肢負荷變化數據。.大鼠、小鼠皆可使用。

產品特點

Key features

Advantages of Bioseb’s dynamic weight bearing system over static incapacitance systems
• Operator-independent
• Time-saving
• Convenient for manipulating large amounts of rodents
• No stress induced on the animal (rat or mouse)

The new version of our Dynamic Weight Bearing Apparatus offers ground-breaking new functionalities:
• Experiment management: define experiment parameters, import a list of subjects and run the total experience. View and analyze subjects on an individual or group basis.
• Possibility to run longer experiments 
• Record up to 30 measurements per second (better accuracy on animal positioning) 
• Perform detailed analysis on immobility, mobility, or both conditions 
• Improved scoring algorithm detecting 80% of the paws 
• Special tool to validate video parameters 
• Improved tools for scoring, undo/redo option, fusion , etc

 

Operating principle

Performing the same measurements as the original manual Version, the Advanced DWB (Dynamic Weight Bearing) improves two of the turnkey points of the system: the speed of operation and the operator independent factor. The Advanced DWB allows the user to reduce the most important phase of the process by a factor of 8 to 10, thus the analysis of 1 animal will take 1 to 2 minutes and be operator-independent.

The results encompass a lot of valuable information but will ask for a minimum of manpower and many more animal analysis can be done in the same amount of time than with a manual instrument. The software gives the weight distribution of the animal (rat or mouse), per limb, with additional ratio computations and filtering options. 

Analysis and replay can be performed on site or remotely using Bioseb’s exclusive software for Dynamic Weight Bearing and Incapacitance tests. During the analysis and replay, the operator can check and secure each limb recognition for hind and front paws. The weight distribution of the animal (rat or mouse) per limb is then shown in the result window, for each time period with the mean and the variation coefficient. 

Parameters measured

• Weight for each paw (g and % total animal weight)
• Weight for grouped front and rear paws (g and %total animal weight)
• Left/Right and Front/Rear weight ratio
• Surface for each paw (mm²)
• Surface for grouped front and rear paws (mm²)
• Variability (standart deviation/mean) for each parameter
• Parameters are given for each posture and as a mean for the whole experiment
• Duration of different postures (4 paws, rearing…) over the whole experiment (s)
• Total time spent on each paw over the whole experiment (s) 

 

應用領域

Pain - Nociception/Analgesia
• Bone cancer models
• Neuropathic models
• Inflammation model
• Post surgery models
• Osteo-arthrisis models
• Arthrose models

Physiology
• Peripheric ischemia
• Cerebrovascular accident models

Neurology
• Spinal cord injuries recovery process

Other research applications
• Calcaneal tendon disease
• Crucial ligaments disease

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