Friday, August 3, 2012

Protein Microarray Service Provider

17 Reasons to Use Arrayit as Your Protein Microarray Service Provider



1.Experience
Since 1997 we've been manufacturing microarrays, enabling microarray manufacturing, processing, scanning, quantifying... There are thousands of publications referencing how well our technology platform works.
2.Support
We have extensive expertise in experimental and microarray design.  We provide practical and impartial advice on best practices to help clients maximize data quality and stay on budget.  We can guide and support through the entire project from microarray manufacturing, processing, reaction, detection and quantification of data. Sample preparation, microarray format, reaction/hybridization equipment, buffers, tools, positive/negative controls, shipping and storage all have to work together to assure high quality data.

3.Capacity
A single NanoPrint Microarrayer can produce more than 1,000 microarrays per day and current processing throughput is hundreds of samples per day.  Microarrays we manufacture have good stability, can be shipped anywhere in the world, and are very stable.  Turnaround times matter, we are in constant production in clean room level environments to assure prompt delivery of high quality.  Proteins amounts are dramatically lower than bead and ELISA based platforms.  15 ug of protein can produce thousands of microarrays.

4.Recommendation
References can be provided so new customers can contact existing clients for unbiased feedback.  As mentioned above, our products and services have appeared in thousands of scientific publications.  We supply quality control documentation required under ISO 13485 certification and work closely with our clients to establish quality control metrics for specific projects.

5.Process
In order to control quality, Arrayit manufactures our surface chemistry and microarray manufacturing
technology.  We are innovators of microarray technology, not integrator of other vendor’s platforms.  However, if a client has their own "biochip" technology such as a microfluidic device, sensor, reader or other piece of the experimental design life cycle, we can identify synergies and adapt our microarray manufacturing methods and expertise to these projects.

6.Reproducibility
There are 5 key areas that control microarray manufacturing quality.  1 Microarray printing technology, 2 robotics, 3 surface chemistry, 4 sample preparation and 5 environmental control.  We have the knowledge base on these key elements to minimize data variability and maximize batch-to-batch reproducibility.

7. Data reporting
Microarray data quality is reported using very complete and detailed methods.  TIF image files used for quantification are created; spot finding work files are created and saved so that there is a record of how the data was generated.  Additionally full reporting of all the quantified data points in the microarray include:

•  Block: block number
•  Column: spot column number
•  Row: spot row number
•  X: x-coordinate of the spot center in µm from the top left corner of the image
•  Y: y-coordinate of the spot center in µm from the top left corner of the image
•  Dia.: spot diameter in µm
•  Flags: spot flag -50 means no signal above background, -100 means bad spot and should be ignored)
•  Fxxx Mean: spot pixels mean
•  Fxxx Median: spot pixels median (the median is not as sensitive to dust as the mean value)
•  Fxxx SD: standard deviation of spot pixels
•  Fxxx |log Mean/Median|: absolute value of the logarithm of the spot Mean/Median ratio. This indicates consistency between the two values mean and median, which are normally very similar. If these values are very different, this parameter tends to differ from 0. This is often indicative of dust affecting the mean without affecting the median, or non-homogeneity in the spot.
•  Fxxx CV: spot standard deviation/mean ratio
•  Fxxx %Sat.: the percentage of spot pixels at wavelength xxx that have the maximum 16-bit intensity value of 65535.
•  Fxxx Median – Bxxx: the median spot pixel intensity at wavelength xxx with the background subtracted.
•  Fxxx Mean – Bxxx: the mean spot pixel intensity at wavelength xxx with the background subtracted.
•  Fxxx Total Intensity: sum of intensity values of spot pixels.
•  Bxxx Mean: background noise pixel mean
•  Bxxx Median: background noise pixel median
•  Bxxx SD: background noise pixel standard deviation
•  Bxxx |log Mean/Median|: absolute value of the logarithm of the background noise Mean/Median ratio
•  Bxxx CV: background noise standard deviation/mean ratio
•  % >Bxxx +1 SD, % >Bxxx +2 SD: the percentage of background pixels at wavelength xxx that have intensity values greater than 1 or 2 SD above the median background intensity
value
•  SNRxxx: signal to noise ratio defined by (spot mean – noise mean)/(standard deviation noise)
•  F Pixels: spot area in pixels
•  B Pixels: pixel area used to compute background noise
•  Circularity: Circularity measure. 100 is most circular, 0 is most non-circular. As Mapix uses only circular arithmetic mean intensities wavelengths x1 and x2, with the
• median background intensity subtracted.
• Median of Ratios (x1/x2): the median of pixel-by-pixel ratios of pixel intensities for wavelengths x1 and x2, with the median background intensity subtracted. Ratios greater
than 100 and less than 0.01 are excluded when calculating this value.
•  Mean of Ratios (x1/x2): the mean of the pixel-by-pixel ratios of pixel intensities for wavelengths x1 and
•  x2, with the median background intensity subtracted. Ratios greater than 100 and less than 0.01 are excluded when calculating this value.
•  Ratios SD (x1/x2): the standard deviation of the log of pixel intensity ratios for wavelengths x1 and x2. Ratios greater than 100 and less than 0.01 are excluded when calculating this value.
•  Sum of Medians (x1/x2): the sum of the median intensities for wavelengths x1 and x2, with the median background intensity at each wavelength subtracted.
•  Sum of Means (x1/x2): the sum of the mean intensities for wavelengths x1 and x2, with the median background intensity at each wavelength subtracted.
•  Log Ratio (x1/x2): log2 transform of the ratio of the medians for wavelengths x1 and x2.
•  features, this value is always 100
•  Ratio of Medians (x1/x2): the ratio of the median intensities wavelengths x1 and x2, with the median
•  background intensity subtracted,
•  Ratio of Means (x1/x2): the ratio of the of the medians for wavelengths x1 and x2.
    
Full disclose of the work and work quality is provided, this is just no way to fake it, the data is real and complete.

8. Environmental Control
All our services work are performed in clean rooms, that includes microarray manufacturing, processing and detection.

9. Security and Confidentiality
Our business is projected by alarm systems and motion sensors.  Data is typically provided over the internet via confidential downloads, but other methods can be used at the discretion of our clients.  In most all cases many confidential details of your experiment do not need to be known to us for us to still provide a valuable service. Although some of our facilities are not open to the public, our demonstration facilities are here to show our clients how we perform our work.

10. Reduce Capital Spending.
Outsourcing to Arrayit converts fixed costs into variable costs, since you play as you play. This releases capital for investment elsewhere in your business, and allows you to avoid large expenditures. Outsourcing can also make your firm more attractive to investors, since you're able to pump more capital directly into other R&D activities or revenue-producing activities such as sales and marketing.

11. Increase Efficiency.
Companies that do everything themselves have much higher research and development costs. We provide an affordable cost structure and since we service many users we have the economy of scale to give your organization a competitive advantage.

12. Reduce Labor Costs
Hiring and training staff uses valuable time and money. These employees can be difficult to manage since managers don't know and don't want to know anything about microarrays, they just need the data. Microarray projects can be expensive, and temporary employees in this area do not exist. Outsourcing lets you focus your human resources where you need them most.

13. Speed
We have the microarray resources to implement all major microarray applications in-house. Our experience can bring your new microarray ideas and applications to reality quickly. Tackling the microarray project in-house involves weeks or months to hire the right people, train them, and provide the support they need. Additionally, capital investments make the startup process even more difficult. We have the technology in-house to make any type of microarray, from peptide, to antigen, to antibodies, lysates and more...

14. Focus and Specialize
 All organizations have limited resources, and every project manager has limited time and attention. Outsourcing to Arrayit shifts the focus from peripheral activities toward work that that generates valuable data for your organization...the reason we use microarray in the first place!

15. Take Advantage
We've been making microarray for 15 years. No other firm can match the in-house expertise that we have maintained over the years. Outsourcing gives your firm access to our vast experience, economies of scale, efficiency, and expertise that that we have built over many years. Since we make our own surface chemistry, microarrayers, micro spotting devices and more...you don't have to buy it!

16. Reduce Risk
Every business investment carries a certain amount of risk. Markets, competition, government regulations, financial conditions, and technologies all change very quickly. We assume and manage much of the risk for you, and we know how to avoid risk in the microarray industry.

17.Peace of Mind
We're nice people and we can make the process fun, not painful.  Every time we think we've got everything solved, a new application and challenge is presented to us.  Our longevity is a tribute to our ability to solve problems and the reality is life science and experimental design is that problems will arise.  Life is too short and this technology is too good not to be excited about it.

Kind regards,

Todd