BIACORE T100

Manufacturer GE Healthcare
3.6
/
5.0
  |  3 reviews


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Average Rating: 3.6
3 Scientists have reviewed this product

5 out of 5
Ease of use
4 out of 5
After sales service
3 out of 5
Value for money


Rating: 3.3

"Highly sensitive, can detect lower amounts of molecule. Good auto program that we can program for many samples"

Review date: 17 May 2012 | BIACORE T100
  • Status:

    Reviewer

  • Member since: 2009

  • Organization: KCL



  • Ease of use
    5 out of 5
    After sales service
    5 out of 5
    Value for money
    3 out of 5
Rating: 4.3
"Excellent results, easy to use- applicable to lots of biochemistry."

Review date: 18 Sep 2009 | BIACORE T100
  • Status:

    Reviewer

  • Member since: 2008

  • Organization: MEMORIAL SLOAN-KETTERING CANCER CTR



  • Ease of use
    4 out of 5
    After sales service
    3 out of 5
    Value for money
    3 out of 5
Rating: 3.3

Review date: 03 Jul 2008 | BIACORE T100

Make critical decisions with confidence

  • Elucidate disease mechanisms by characterizing native or recombinant protein interactions
  • Select the best antibodies as research tools, assay components or therapeutics by fully defining their interaction behavior
  • Define potential drug targets and diagnostic markers
  • Develop assays to characterize protein: LMW compound interactions in drug development
  • Select protein therapeutic candidates according to their on/off rates
  • Detect and characterize immune responses during preclinical and clinical development
  • Characterize protein therapeutics and implement QC methods

Key performance benefits

  • Analyze up to 384 samples per run, automatically
  • Analyze over the broadest kinetic range
  • Use software wizards for fast assay development, analysis and evaluation of every interaction parameter: kinetics, affinity, specificity, concentration, thermodynamics
  • Support for assay development, analysis and evaluation when working with LMW compounds <1000 Da
  • Use buffer scouting for fast assay development
  • Use integrated buffer degassing to improve robustness when studying interactions at elevated temperatures 
  • Use integrated sample cooling for temperature-sensitive samples