I have just read the Wikipedia article on the Lebesgue Integral, as well as this answer on Lebesgue integral basics.
I'm not sure how to interpret the differential $d \mu(x) = d \mu$ in the case where $\mu$ is the Lebesgue measure on $\mathbb{R}$.
For instance in a simple example, say
$$\int_{a}^{b} x d \mu (x)$$
For the Riemann integral $$\int_{a}^{b} x dx$$ the interpretation of $dx$ is an infinitesimal change in $x$, summing up the signed areas of the rectangles formed by sampling heights from points $f(x^*)$ in the subintervals as a limit.
For the Lebesgue integral, you partition the range of $f$ into infinitely fine intervals $[y_i, y_{i+1}]$ with $y_0=a, y_N=b$ and compute $\lim_{n \rightarrow \infty} \sum_{i=1}^{N} \mu (E_i) y_i^*$ where $E_i$ is the pre-image of the i-th partition interval, a subset of $R$ (the $x$-values), and $y_i*$ is a sample point within the $y$ range. My confusion seems to be that $\mu$ is a measure of sets of $y$ values, but it's written as a function of $x$ in the integral notation? Any insights appreciated.
Edit: as per the comments, $\mu$ is a measure of measurable sets of $x$ values which are in the pre-image of some set of y-values, but still the point remains that $d \mu(x)$ seems to input individual $x$ values as per the notation.