ReviewJournal of biophotonics2018
A theoretical-experimental methodology for assessing the sensitivity of biomedical spectral imaging platforms, assays, and analysis methods.
Review in Journal of biophotonics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed.
- Combined excitation scan-based hyperspectral imaging and digital deconvolution for the assessment of the kinetic and spatial distributions of cAMP signals.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Design of Multiplexed, Live Cell Imaging Experiments Using Excitation Scan-Based Hyperspectral Imaging Microscopy.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Hyperspectral imaging and dynamic region of interest tracking approaches to quantify localized cAMP signals.Biochemical Society transactions · 2024Review
- Comparing Performance of Spectral Image Analysis Approaches for Detection of Cellular Signals in Time-Lapse Hyperspectral Imaging Fluorescence Excitation-Scanning Microscopy.Bioengineering (Basel, Switzerland) · 2023Article
- Compact and ultracompact spectral imagers: technology and applications in biomedical imaging.Journal of biomedical optics · 2023Review
- Multifaceted mirror array illuminator for fluorescence excitation-scanning spectral imaging microscopy.Journal of biomedical optics · 2023Article
- Microscopy is better in color: development of a streamlined spectral light path for real-time multiplex fluorescence microscopy.Biomedical optics express · 2022Article
- Label-free spectroscopic tissue characterization using fluorescence excitation-scanning spectral imaging.Journal of biophotonics · 2020Article
- Spectral Illumination System Utilizing Spherical Reflection Optics.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Excitation-scan Mirror Array System Advancements to Hyperspectral Imaging Applications.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- Hyperspectral imaging fluorescence excitation scanning (HIFEX) microscopy for live cell imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
- Optimization of Light Transmission through an Excitation-scan Hyperspectral Mirror Array System.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
- A Spherical Mirror-based Illumination System for Fluorescence Excitation-Scanning Hyperspectral Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Spectral imaging technologies have been used for many years by the remote sensing community. More recently, these approaches have been applied to biomedical problems, where they have shown great promise. However, biomedical spectral imaging has been complicated by the high variance of biological data and the reduced ability to construct test scenarios with fixed ground truths. Hence, it has been difficult to objectively assess and compare biomedical spectral imaging assays and technologies. Here, we present a standardized methodology that allows assessment of the performance of biomedical spectral imaging equipment, assays, and analysis algorithms. This methodology incorporates real experimental data and a theoretical sensitivity analysis, preserving the variability present in biomedical image data. We demonstrate that this approach can be applied in several ways: to compare the effectiveness of spectral analysis algorithms, to compare the response of different imaging platforms, and to assess the level of target signature required to achieve a desired performance. Results indicate that it is possible to compare even very different hardware platforms using this methodology. Future applications could include a range of optimization tasks, such as maximizing detection sensitivity or acquisition speed, providing high utility for investigators ranging from design engineers to biomedical scientists.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.