We attempted to use a confocal microscope to isolate a more useful field of view, however this yielded practically the same images with only marginally more contrast.
Finally, we attempted to use these markers for the classification of cancer.
We attempted to use a relational model in addition to the MEMM to allow the use of top-down information.
We attempted to use a number of machine learning approaches and data filtering techniques to identify fishing patterns.
We attempted to use Lightwave to model the whale but after several failed attempts, we decided to buy a 3ds model of a whale online.
Initially we attempted to use a simple op-amp voltage shifter to shift the 5V from our microcontroller power supply to the 3.3V needed.
To fix this problem we attempted to use colored LED's, however, we were unable to make them work properly, possibly due to them not receiving enough current.
Lastly, we attempted to use RSA analysis based on the behavioral ratings of sensory perceptibility by the blind and ratings of visual perceptibility by the sighted.
For a rapid and simple assay, we attempted to use the molecular beacon with real-time PCR and in situ fluorescence imaging.
In the previous study, we attempted to use a collagen chitosan (CCH) scaffold to mimic the bio-functional peripheral nerve and to bridge sciatic nerve defects in rats.
For that, we attempted to use a porous biodegradable polymer scaffold in the combination with atelocollagen hydrogel, and optimized the structure and composition of porous scaffold.
