PubMed Health⌕ Search

PubMed · 15711876

Single-photon counting multicolor multiphoton fluorescence microscope.

Abstract

We present a multicolor multiphoton fluorescence microscope with single-photon counting sensitivity. The system integrates a standard multiphoton fluorescence microscope, an optical grating spectrograph operating in the UV-Vis wavelength region, and a 16-anode photomultiplier tube (PMT). The major technical innovation is in the development of a multichannel photon counting card (mC-PhCC) for direct signal collection from multi-anode PMTs. The electronic design of the mC-PhCC employs a high-throughput, fully-parallel, single-photon counting scheme along with a high-speed electrical or fiber-optical link interface to the data acquisition computer. There is no electronic crosstalk among the detection channels of the mC-PhCC. The collected signal remains linear up to an incident photon rate of 10(8) counts per second. The high-speed data interface offers ample bandwidth for real-time readout: 2 MByte lambda-stacks composed of 16 spectral channels, 256 x 256 pixel image with 12-bit dynamic range can be transferred at 30 frames per second. The modular design of the mC-PhCC can be readily extended to accommodate PMTs of more anodes. Data acquisition from a 64-anode PMT has been verified. As a demonstration of system performance, spectrally resolved images of fluorescent latex spheres and ex-vivo human skin are reported. The multicolor multiphoton microscope is suitable for highly sensitive, real-time, spectrally-resolved three-dimensional imaging in biomedical applications.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Christof Buehler, Ki H Kim, Urs Greuter, Nick Schlumpf, Peter T C So. 2005. Single-photon counting multicolor multiphoton fluorescence microscope.. https://doi.org/10.1007/s10895-005-0212-z

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Flying blind: using a digital dashboard to navigate a complex PACS environment.

Radiology workflows have become more distributed and complicated, and fewer tangible cues are available to the radiologist to help optimize task prioritization and selection. Additionally, faster scanners, more detailed exams, and increased demand for imaging services have precipitated a potential image overload for today's radiologists who are pressured to provide efficient, quality service in less time. Radiologists are faced with the task of operating within complex systems but are lacking tools to efficiently and effectively monitor these systems in real time. Dashboard technology can help address this deficiency in radiology and facilitate informed, optimized decisions about workflow. Possible areas of application include workflow consolidation, workload distribution, and urgency evaluation. Dashboards should be optimized, context-sensitive, customizable, and workflow-integrated. Further research is needed to identify the most important dashboard metrics, determine their optimal display, and validate their utility.

Data Display↗

Defective pixels in medical LCD displays: problem analysis and fundamental solution.

Over the past few years, traditional CRT displays have gradually been replaced by active matrix LCD displays. Each pixel in an LCD display has its own individual transistor that controls the transmittance of that pixel. Occasionally, these individual transistors will short or malfunction, resulting in a defective pixel that always shows the same brightness. This article shows how defective LCD pixels can interfere with subtle features in medical images. A defective pixel affects a broad area around it therefore possibly reducing the quality of diagnosis specifically for highly demanding applications such as mammography. A specialized image processing algorithm provides an innovative solution making these defects completely invisible and recovers information from the defect so the radiologist perceives the medical image correctly.

Data Display↗

Utilization of DICOM GSDF to modify lookup tables for images acquired on film digitizers.

Film digitizers are used to transfer hardcopy x-ray transmission films into a PACS environment. Variability between digitizers is primarily due to a lack of an acquisition standard. By utilizing the Digital Imaging and Communications in Medicine (DICOM) Part 14 Grayscale Standard Display Function (GSDF) as basis from which to judge and modify digitizer output, a methodology using Just Noticeable Differences (JND) can be established that will create custom lookup tables for film digitizers. These modified images can then be judged against the original films using the GSDF to determine if the original films' contrast is preserved. Results based on JND indicated that relative contrast of the original image is preserved.

Data Display↗