About: Quantitative Microscopy is a research topic. Over the lifetime, 180 publications have been published within this topic receiving 4934 citations.
TL;DR: In this paper, the authors proposed a sampling density for a charge-coupled device (CCD) camera that can be used to evaluate the quality of one's quantitative microscope systems and to identify which components are the "weakest link".
Abstract: While light microscopy is almost 400 years old, developments of the past decade have offered a variety of new mechanisms for examination of biological and material samples. These developments include exploitation of techniques such as confocal microscopy, scanning near field microscopy, standing wave microscopy, fluorescence lifetime microscopy, and two-photon microscopy. In biology, advances in molecular biology and biochemistry have made it possible to selectively tag (and thus make visible) specific parts of cells, such as actin molecules, or sequences of DNA of 1000 base pairs or longer. In sensor technology, modern charge-coupled device (CCD) cameras are capable of achieving high spatial resolution and high sensitivity measurements of signals in the optical microscope. Modern CCD camera systems are limited by the fundamental quantum fluctuations of photons, which cannot be eliminated by "better" design. Further, proper choice of the sampling density involves not only an understanding of classic linear system theory-the Nyquist theorem-but also the equally stringent requirements of digital measurement theory. Experimental procedures that rely on the CV can be used to evaluate the quality of one's quantitative microscope systems and to identify which components are the "weakest link". Typical values of relatively straightforward parameters such as size can easily be measured to CVs around 1%.
TL;DR: Oufti provides computational solutions for tracking touching cells in confluent samples, handles various cell morphologies, offers algorithms for quantitative analysis of both diffraction and non‐diffraction‐limited fluorescence signals and is scalable for high‐throughput analysis of massive datasets, all with subpixel precision.
Abstract: With the realization that bacteria display phenotypic variability among cells and exhibit complex subcellular organization critical for cellular function and behavior, microscopy has re-emerged as a primary tool in bacterial research during the last decade. However, the bottleneck in today's single-cell studies is quantitative image analysis of cells and fluorescent signals. Here, we address current limitations through the development of Oufti, a stand-alone, open-source software package for automated measurements of microbial cells and fluorescence signals from microscopy images. Oufti provides computational solutions for tracking touching cells in confluent samples, handles various cell morphologies, offers algorithms for quantitative analysis of both diffraction and non-diffraction-limited fluorescence signals and is scalable for high-throughput analysis of massive datasets, all with subpixel precision. All functionalities are integrated in a single package. The graphical user interface, which includes interactive modules for segmentation, image analysis and post-processing analysis, makes the software broadly accessible to users irrespective of their computational skills.
TL;DR: Quantitative microscopy using scanning electron microscopy-based automatic measurement methods and data processing techniques that provide broad ranges of applications is very popular in the mining industry as mentioned in this paper and these systems determine the quantities and microtextures of the ore samples and metallurgical products to guide process development and troubleshoot processing problems.
Abstract: Quantitative microscopy using scanning electron microscopy-based automatic measurement methods and data-processing techniques that provide broad ranges of applications is very popular in the mining industry. These systems determine the quantities and microtextures of the ore samples and metallurgical products to guide process development and troubleshoot processing problems.
TL;DR: In this paper, a theoretical model analysis for a recently developed scanning evanescent microwave microscope has been performed and the result enables a quantitative microscopy of local complex dielectric constant profiles.
Abstract: A theoretical model analysis for a recently developed scanning evanescent microwave microscope has been performed. The result enables a quantitative microscopy of local complex dielectric constant profiles for dielectric materials. Various experiments were performed and found to be in good agreement with the theoretical results. The estimation of intrinsic resolution of the microscope suggests that nanometer spatial resolution is achievable. System analysis gives a limiting sensitivity of about δe/e∼1×10−5.
TL;DR: In this paper, a microwave near-field microscope has been developed to achieve a spatial resolution of 100 nm (∼λ/106) with a detection sensitivity of δe/e∼6×10−4.
Abstract: A recently developed scanning tip microwave near-field microscope has been improved to achieve a spatial resolution of 100 nm (∼λ/106). Furthermore, explicit calculations of the field distribution using a simplified model allow quantitative microscopy of dielectric properties for dielectric materials. A detection sensitivity of δe/e∼6×10−4 has been achieved.