Particle counting finds many industrial applications especially in medical healthcare. In particular, cell counting from whole blood is used pervasively for disease diagnostics. Microfluidic impedance cytometry is fast, requires a small volume of blood, can be used at point of care and can perform absolute enumeration of different cell types in the sample. Coincidence detection is very essentia...

background and objective: pneumocystis pneumonia (pcp) has been historically the most prevalent opportunisticinfection in patients infected with the human immunodeficiencyvirus. culture of the organism has not been faced with suitable success in artificial media, while various results have been reported for cell culture media. the aim of this study was proliferation of pneumocystis carinii on t...

A rapid, simple and specific cancer cell counting sensor would allow for early detection and better disease management. We have developed a novel cell counting device that can specifically count 125 prostate cancer cells in both complex media with serum and a mixed cell population containing non-target cells within 15 min. The microfabricated glass chip with exposed gold apertures utilizes the ...

People-counting data can be used in building-control systems to improve comfort and space management applications optimize building space. In this work, we consider a combi-sensor with single-pixel thermopile passive infrared sensor for people counting. We first develop signal model object temperature measurements under multiple occupancy. then propose counting method based on: cumulative sum (...

Described herein are particular embodiments relating to a microfluidic device that may be utilized for cell sensing, counting, and/or sorting. Particular aspects relate to a microfabricated device that is capable of differentiating single cell types from dense cell populations. One particular embodiment relates a device and methods of using the same for sensing, counting, and/or sorting leukocy...

Cell counting is a ubiquitous, yet tedious task that would greatly benefit from automation. From basic biological questions to clinical trials, cell counts provide key quantitative feedback that drive research. Unfortunately, cell counting is most commonly a manual task and can be timeintensive. The task is made even more difficult due to overlapping cells, existence of multiple focal planes, a...

In this paper we propose a technique to adapt a convolutional neural network (CNN) based object counter to additional visual domains and object types while still preserving the original counting function. Domain-specific normalisation and scaling operators are trained to allow the model to adjust to the statistical distributions of the various visual domains. The developed adaptation technique ...