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The Principles of Clinical Cytogenetics - Extra Materials - Springer

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Automation in the <strong>Cytogenetics</strong> Laboratory 129<br />

Fig. 14. GenePix microarray scanner. This benchtop unit features an eight-position emission filter wheel to<br />

allow the user flexibility in choosing fluorescent dyes. <strong>The</strong> image on the right shows a schematic <strong>of</strong> the light<br />

path through the scanner. (Courtesy <strong>of</strong> Axon Instruments, Inc.)<br />

technology, computers, and automated instrumentation. <strong>The</strong>se have improved laboratory practice<br />

in three basic ways:<br />

• Automation <strong>of</strong> tasks, which can free up technologist time, thereby improving efficiency and<br />

reducing costs<br />

• An increase in the speed (and sometimes accuracy) at that tasks can be performed<br />

• Performance <strong>of</strong> tasks which cannot be accomplished manually<br />

Nevertheless, the world <strong>of</strong> cytogenetics is still essentially one <strong>of</strong> manual manipulation and diagnosis.<br />

We have, however, seen that there are notable exceptions, assisting with both sample preparation<br />

and chromosome analysis. <strong>The</strong>se fall into several basic categories: robotic harvesters, environmentally<br />

controlled drying chambers, automation <strong>of</strong> certain aspects <strong>of</strong> the FISH procedure, and computerized<br />

imaging systems. We have further seen how the latter represents the single most significant<br />

example <strong>of</strong> automation in the cytogenetics laboratory. <strong>The</strong> major benefits <strong>of</strong> a computerized imaging<br />

system are a reduction in the amount <strong>of</strong> time required to complete each standard analysis and the<br />

ability to perform some FISH analyses (e.g., M-FISH) that require a computer. Whether automatically<br />

locating suitable metaphases, automating the karyotyping process, enabling the use <strong>of</strong> low-light<br />

fluorescence techniques, or eliminating the need for photomicrography and darkroom processing,<br />

computerized imaging systems can save valuable operator time.<br />

As technology continues to advance, there seems little doubt that most <strong>of</strong> the manual tasks required<br />

for chromosome analysis today will eventually be automated.<br />

REFERENCES<br />

1. Spurbeck, J.L., Zinmeister, A.R., Meyer, K.J., and Jalal, S.M. (1996) Dynamics <strong>of</strong> chromosome spreading. Am. J. Med.<br />

Genet. 61, 387–393.<br />

2. Drent P. (2003) Digital imaging—new opportunities for microscopy. Retrieved May 27, 2003 Nikon Microscopy,<br />

www.microscopyu.com/articles/photomicrography/digital/drentdigital.html (accessed May 27, 2003).<br />

3. US Department <strong>of</strong> Health and Human Services (2003) Fact sheet:rotecting the privacy <strong>of</strong> patients’ health information,<br />

www.hhs.gov/news/facts/privacy.html (accessed October 10, 2003).<br />

4. Gee S. (2001) Seeing the genome, part 1. <strong>Cytogenetics</strong>—the challenges for automated genetic image analysis systems.<br />

G.I.T. Imaging Microsc. 1, 4–7.

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