By Morrison Rogosa, Micah I. Krichevsky, Rita R. Colwell (auth.)

As the name indicates, this booklet offers an open ended procedure during which machine recommendations facilitate encoding, access, administration, and research of microbiological information derived from the examine of micro organism, algae, fungi, and protozoa. The method isn't restricted by means of any taxonomie perspective or proprietary computing device expertise and is freely and simply adaptable to the distinct wishes of designated difficulties. this allows investigators to deal successfully with unexpected parts in their research or with new information generated by means of previous or new know-how. we're essentially thankful for the important recommendation and encouragement of Professor V.B.D. Skerman. lots of individuals contributed rules and technical wisdom, and clients of the method have contributed info and responsive feedback for greater than a decade. relatively, we recognize Lesley Jones for a few editorial support; Keith E. McNeil for contributions to part 7; Elwyn G. McIntyre for beneficial guidance with part eight; Dr. B. Amdur for significant contributions to part 21; Dr. A.J. Wicken for assistance in increasing and updating part 23; Dr. S. Feingold for a few positive factors of anaerobic micro organism in part 24; Drs. J.

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The achromatic colors differ from each other only in the single dimension of relative lightness reflected from surfaces. A white surface reflects approximately 80% or more of incident visible light and a surface is perceived as black if it reflects ca 4-5% of incident light. The grays are intermediate. Visual perception of neutral colors is also associated with the intensity of the illuminating light. As illumination varies, the intensity of the light reflected by a surface of a given neutral color will vary accordingly.

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Coding Microbiological Data for Computers by Morrison Rogosa, Micah I. Krichevsky, Rita R. Colwell
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