Automation of differentials is desirable for economic and time-saving reasons. Over the last 20 years, automated imaging processes have started to be introduced where stained blood films are scanned by a computer-driven microscope and leucocytes classified; however, early methods were slow and had difficulty in classifying abnormal cells. More recently the CellaVision DM96 (CellaVision AB, Lund, Sweden) has been introduced with added features such as continuous loading of slides and a faster throughput than previous instruments. The accuracy of CellaVision DM96 has been evaluated by comparing results to reference manual differentials. Results from different operators using the DM96 were compared with their own manual differential and to a 400-cell reference manual differential. Precision of the instrument was compared to the manual differential. The preclassification accuracy of the DM96 was 89.2%. Precision was similar to that of the 100-cell manual differential. The DM96 was faster than the manual method, even after reclassification by a laboratory scientist of any cells wrongly categorized by the instrument. The DM96 accuracy in morphological classification of leucocytes and red blood cells; depends upon both blood pathology and experience of the laboratory scientist using the instrument. For some cell types and operators, DM96 accuracy was better than the individual's 100 cell manual differential.

We propose a novel optical hybrid plasmonic patch nano-antenna for operation at the standard telecommunication wavelength of 1550 nm. The nano-antenna is designed to be compatible with a hybrid plasmonic waveguide through matching of both the operational mode and the wave impedance. The antenna is designed to receive the optical signal from a planar waveguide and redirect the signal out of plane, and is therefore useful for inter- or intra-chip optical communications and sensing. The transmission line model in conjunction with surface plasmon theory is used to develop analytical formulas for design and analysis, and a 3-dimensional full-wave numerical method is used to validate the design. The proposed device provides a bandwidth of more than 15 THz, a gain of 5.6 dB, and an efficiency of 87%. Furthermore, by designing an 8 × 8 array of the proposed antenna, a directivity of 20 dBi and steering of the beam angle are achieved by controlling the relative phase shift between elements of the array.

We demonstrate wavelength conversion through nonlinear parametric processes in hydrogenated amorphous silicon (a-Si:H) with maximum conversion efficiency of -13 dB at telecommunication data rates (10 GHz) using only 15 mW of pump peak power. Conversion bandwidths as large as 150 nm (20 THz) are measured in continuous-wave regime at telecommunication wavelengths. The nonlinear refractive index of the material is determined by four-wave mixing (FWM) to be n(2)=7.43×10(-13) cm(2)/W, approximately an order of magnitude larger than that of single crystal silicon.

Physical unclonable functions (PUFs) serve as a hardware source of private information that cannot be duplicated and have applications in hardware integrity and information security. Here we demonstrate a photonic PUF based on ultrafast nonlinear optical interactions in a chaotic silicon micro-cavity. The device is probed with a spectrally-encoded ultrashort optical pulse, which nonlinearly interacts with the micro-cavity. This interaction produces a highly complex and unpredictable, yet deterministic, ultrafast response that can serve as a unique "fingerprint" of the cavity and as a source of private information for the device's holder. Experimentally, we extract 17.1-kbit binary keys from six different photonic PUF designs and demonstrate the uniqueness and reproducibility of these keys. Furthermore, we experimentally test exact copies of the six photonic PUFs and demonstrate their unclonability due to unavoidable fabrication variations.

We provide a review of recent progress in integrated nonlinear photonics with a focus on emerging applications in all-optical signal processing, ultra-low-power all-optical switching, and quantum information processing.