Abstract: Currently, spectroscopic applications in the medical field for diagnosis disease requires specialized instrumentation. An example is time-resolved fluorescence, where fluorescence lifetime must be measured, demanding equipment capable of extracting times on the order of nanoseconds and picoseconds. In this work, we present the implementation of the sequential equivalent-time sampling technique to reconstruct and visualize the pulse width of a laser source. The system is based on a photo detector coupled to an oscilloscope that is fully controlled through a computer program developed in Python, allowing automated acquisition and data processing. This approach reduces the limitations imposed by real-time acquisition rates and enables the study of repetitive fast optical phenomena. The main objective is to establish a methodological and instrumental basis for future applications in fluorescence lifetime measurements of biological samples. To optimize resources, the system makes use of components from a transient absorption spectroscopy kit, thus taking advantage of the available instrumentation. The proposed implementation is versatile, cost-effective, and adaptable, making it possible to extend its functionality to biomedical fluorescence studies. In the long term, the system can be further improved and scaled, integrating more sensitive detectors, optimized electronics, and advanced data processing algorithms, with the aim of achieving reliable and accurate tools for medical diagnostics.

Keywords: Equivalent-time sampling, Oscilloscope control, Python instrumentation, Nanoseconds, Laser pulses, Fluorescence lifetime.

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