A study of the diameters of the cells and nuclei in the second cervical spinal ganglion of the adult albino rat / by Shinkishi Hatai.

  • Hatai, Shinkishi.
Date:
1907
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Licence: In copyright

Credit: A study of the diameters of the cells and nuclei in the second cervical spinal ganglion of the adult albino rat / by Shinkishi Hatai. Source: Wellcome Collection.

Provider: This material has been provided by The Royal College of Surgeons of England. The original may be consulted at The Royal College of Surgeons of England.

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    values of the two diameters thus obtained were multiplied together and the square root of the product was called “calculated diam- eter” of the cells and nuclei. Of course every section of a cell which possessed a distinct nucleus and nucleolus was measured from the nine sections and altogether 1108 such cells were found. The 1108 cells and nuclei thus measured were arranged according to the magnitude of the “calculated diameters” and the fre- quencies of the variates were determined as shown in the corre- lation table (see p. 490). For grouping the variates I have selected 2 micra as the unit for the cell-body and 0.65 of a micron for the nucleus. As will be seen later, small differences in the value of the unit do not produce any significant change in the final results, and therefore it is advisable to select some integral number for convenience in computation. ANALYTICAL CONSTANTS AND FREQUENCY DISTRIBUTION. I shall first discuss the frequency distributions of the cell-bodies and nuclei. The fundamental analytical constants necessary for such discussion are given in the following table: TABLE I. No. of measure- ment. Cell-body. Nucleus. Skewness. 1 Cell-body. Nucleus. 1108 1108 .4o8i± .024 • i734± -°H Ih 27.1627 9-5^54 Modal divergence 1 .3558± .006 • 49i8i .002 * 446.9891 233.3303 Standard deviation 6.6448± .952 1.8457i .026 A .5486 .1731 Mean 23.3356i1.346 io.9523i .037 I /?2 3-6687± .099 3.S889± .099 Mode 21.9798 10.4605 ■ .052 .41611b .028 Coef. of variation 28.4749io.4398 16.8521io.2482 /?2-3 .6687 .5889 Coef. of correlation .86i6i .006 1 1 0 1 00 1 .6385 Lower and upper ends of ranges 7-5844 60.9693 ' K2 -I-SU9 .8248 Type of curve I IV It has been shown by Pearson (’05) that in order to fit a given distribution of frequency to a Gaussian probability curve