![]() ![]() This result is achieved by employing a space–time deconvolution methodology to translate the imaging plane at an arbitrary distance from the source. Critically, our methodology also enables the reconstruction of planar objects located significantly distant (i.e., well beyond the THz near-field region) from the source plane. (26) In the first instance, the TNGI methodology works for planar samples placed in close contact with the generation crystals without any post-processing requirements. A computational protocol allows the high-fidelity reconstruction of hyperspectral (in space and time) features. A time-domain spectroscopy (TDS) (32−34) detection system collects the temporal dynamics of the average scattered field. In the TNGI, an ultrafast structured optical beam locally generates the subwavelength THz patterns by a second-order nonlinear conversion. We recently addressed a seminal part of this challenging scenario by introducing the time-resolved nonlinear ghost imaging (TNGI) (25,26) technique. Consequently, for samples with a complex 3D internal structure, understanding the spectral fingerprint of microscopic features with fidelity, especially for semitransparent objects, is a challenging task. ![]() Any subwavelength distance between sources and object planes drastically affects the retrieved image. As a result, the spatial and temporal information become entangled as the field propagates away from the source. In the subwavelength regime, the near-field propagator (i.e., the electromagnetic Green’s function) rapidly varies within the wavelength spatiotemporal scale. The THz pattern source effectively acts as the probe of the imager, and since the detection happens in the far field, the distance between the THz pattern source and the object defines the near-field condition of the system. By leveraging optical-to-THz nonlinear conversion, these methods can employ deep subwavelength sampling to increase the achievable spatial resolution drastically. The patterns are then correlated with the detected signal to reconstruct a spatiotemporal image of the sample. These approaches rely on illuminating the sample in the near field with a sequence of predetermined spatial patterns and detecting the average scattered field. Among the recent approaches for THz microscopy, imaging concepts based on spatially structured THz near-field illumination, i.e., “ghost” imaging, (20−22) demonstrated real-time acquisition, (23) micrometric resolution, and a high signal-to-noise ratio (24−28) for thin opaque samples. Regardless of how revealing the THz spectra might be, the relatively long THz wavelength implies that any submillimeter feature of an object is practically invisible to standard diffraction-limited imaging methodologies. Building upon this principle, we demonstrate complex, time-domain volumetry resolving internal object planes with subwavelength resolution, discussing the range of applicability of our technique. ![]() Our approach is particularly suitable for objects with sparse micrometric details. Since space–time coupling rapidly evolves and diffuses within subwavelength length scales, our technique can separate and discriminate the information originating from different planes at different depths. We leverage the temporally resolved, field-sensitive detection to “refocus” an image plane at an arbitrary distance from the source, which defines the near-field condition, and within a microscopic sample. Specifically, we investigate the capability of the time-resolved nonlinear ghost imaging methodology to implement field-sensitive micro-volumetry by plane decomposition. While this often represents a challenge, as the information needs to be disentangled to obtain high image fidelity, here, we show that such a phenomenon can enable three-dimensional microscopy. In this spectral range, the near-field propagation strongly affects the information in the space–time domain in items with microscopic features. But if you don't change DPI between games, don't worry about this part and leave it as is.Įnter the required information and our calculator will instantly calculate your newly converted precision and display it in the last field.Terahertz time-domain imaging targets the reconstruction of the full electromagnetic morphology of an object. You will then have the choice of choosing a “start” and “end” DPI. ![]() Then enter the sensitivity of the original game you are converting. Because the acquired muscle memory cannot be changed, but the sensitivity settings can be changed.Ĭhoose which games you want to convert from which games to use this calculator. The biggest benefit of doing this is that you can maintain your hard-earned muscle memory throughout any game you play. This mouse sensitivity converter allows you to convert sensitivities between games. What you need to know about this mouse sensitivity converter ![]()
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