What are some of the challenges with credibility that particularly affect your work?
One of the significant challenges in my work involves methodologies and tools utilized in my research. In my PhD project, I focused on investigating synapse development within associative and sensory areas. Specifically, my focus was on characterizing the density and features of synaptic protein aggregates, known as puncta, employing a plugin designed to detect these puncta based on predefined thresholds and diameters.
To ensure the accuracy of the detection tool, I undertook a validation process by comparing its performance against manual detection methods. While manual detection proved effective and reliable in validating the tool's functionality, I recognize the importance of further bolstering the credibility of my findings by comparing the results obtained with alternative automated systems. For instance, integrating the outputs of a machine learning-based image analysis tool could serve to augment the robustness and validity of my research outcomes.
By employing multiple verification methods and cross-referencing with different automated systems, I aim to enhance the trustworthiness and credibility of my research findings in the field of synapse development.