The brain structure of a beetle presents unique challenges due to its small size and high degree of complexity. However, advanced imaging and data analysis technologies have made it possible to capture detailed structures of insect brains, including beetles. Here are some potential ways to map a beetle's brain with high accuracy:

1. **Microscopy Imaging**: Microscopy techniques such as confocal microscopy or electron microscopy can be used to obtain high-resolution images of insect brain structures. 

2. **Brain Staining**: Brain tissue can be stained with various techniques to enhance the contrast of different structures under a microscope or other imaging equipment. Common staining solutions for insect brain tissues include Golgi stains, fluorescent stains, or immunocytochemical stains.

3. **3D Reconstruction**: Techniques such as serial block-face scanning electron microscopy (SBFSEM) can be used to create three-dimensional reconstructions of small brain structures. These 3D maps can provide valuable insight into the functional and structural organization of the beetle's brain.

4. **Connectomics**: This is a research field that aims to delineate the wiring diagram of neural circuits. It involves tracing the projections of neurons and identifying the synapses among them. For insects, micro-CT scan or synchrotron X-ray microtomography are often used to produce high-resolution 3D virtual models of the insect's brain, enabling the study of its neural circuits in great detail.

Once generated, these scans and maps can potentially be used within neuronal modeling platforms, including PyNeuroML, for further study and simulation. PyNeuroML provides a Python-based utility for working with NeuroML, a model description language for computational neuroscience. In principle:

1. **Digitization of the Mapped Data**: For the maps/scans to be used, they would need to be digitized and converted appropriately. If they are in a standard neuroanatomical format, like NIfTI or DICOM, they can easily be utilized in tools like PyNeuroML.

2. **Building the Model**: Based on the digitized data, models of individual neurons or neural networks can be generated to match the specific brain structures identified during the mapping process.

3. **Simulation Integration**: After the model has been developed, it can be compiled and executed using a simulation environment of your choice that is compatible with PyNeuroML.

It's important to note that such a process may involve significant work, expertise in neuroanatomy, computational modeling, and programming, depending on the details and complexity of the particular beetle brain and the factors you are interested in studying. Additionally, not all details of the microstructure of the beetle's brain may be captureable or interpretable in current models, so some simplification may be necessary.
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