Abstract: Signal processing techniques that can include an embedded software low-noise response pulse detection, which can help provide an enhanced signal-to-noise characteristic, such as can help permit highly specific fast IR spectroscopic tissue analysis. Using a difference between (1) response signal values during a first time period duration of a response pulse from a tissue sample illuminated by illumination pulse, and (2) response signal values for a similar first time period duration between response pulses, for a low duty cycle (e.g., less than 50%, 10% or even at about 5% duty cycle) illumination pulse, accumulation of noise in the response signal between electromagnetic illumination pulses can be limited. In particular, the described signal pre-processing techniques can help extract meaningful information for performing spectroscopic analysis and characterization of the tissue sample despite amplitude and temporal variations that can be encountered when using the system.