RSR13, SYNTHETIC ALLOSTERIC MODIFIER OF HEMOGLOBIN, ON BRAIN TISSUE PO2 IN RATS

我们还开发了自己的EPR谱模拟软件 为了从噪声中精确估计光谱线宽， 多组分EPR谱 这是基于一个洛伦兹 - 具有适当吸收的高斯和函数模型，以及 分散组分 使用特殊的拟合程序EWVoigt （科学软件服务）以前我们已经表明，EPR 我们的主要氧敏感探头在不同的 氧浓度可以很好地用两个 不同线宽的线（所以叫双中心拟合）。 这 这种方法使我们能够从非常嘈杂的光谱中测量线宽 （信噪比低至二比一）。 不幸的是，这种数据处理需要时间， 使用一台功能强大的计算机。 基于这个结果，我们 开发了我们自己的EPR光谱拟合软件， 从有噪声的EPR谱测量谱线宽度。 这 方法基于一个洛伦兹和一个高斯的总和 功能 该算法还包括吸收系数的拟合， 洛伦兹函数的色散分量。 该光谱 拟合允许我们得到光谱线宽的精确估计 即使是在我们的普通电脑上，也能在一分钟内从嘈杂的EPR光谱中分离出来。 对于宽翼的谱，这个程序可以作如下改进： 再加上一个洛伦兹函数。

We have also developed our own EPR spectral simulation software for the accurate estimation of spectral linewidth from noisy multi-component EPR spectra. This is based upon a Lorentzian -Gaussian sum-function model with appropriate absorption and dispersion components. Using the special fitting program EWVoigt (Scientific Software Services) previously we have shown that the EPR line shapes of our principal oxygen sensitive probes at different oxygen concentration can be described very well by the sum of two lines with different line widths (so call two centers fitting). This approach allows us to measure the linewidth from very noisy spectra (signal to noise ratio as low as two to one) with high accuracy. Unfortunately this data processing takes time and has to be performed using a quite powerful computer. Therefore based on this result we have developed our own EPR spectral fitting software for the measurement of spectral linewidth from noisy EPR spectra. This approach is based on a sum of one Lorentzian and one Gaussian function. The algorithm also includes the fitting of absorption and dispersion components for the Lorentzian function. This spectral fitting allows us to get accurate estimation of spectral linewidth from noisy EPR spectra in a minute, even on our regular computer. This program could be improved for the spectra with wide wings by adding to the sum one more Lorentzian function.