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Biological Imaging is a peer-reviewed journal published by Cambridge University Press, covering Cell Image Analysis Techniques, Advanced Fluorescence Microscopy Techniques, Advanced Electron Microscopy Techniques and Applications.
| Publisher | Cambridge University Press |
|---|---|
| Reference style | Numbered Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Biological Imaging 12 (2023) 45–58.
Formats any DOI in the closest standard style — Biological Imaging has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Cell Image Analysis Techniques Advanced Fluorescence Microscopy Techniques Advanced Electron Microscopy Techniques and Applications Single-cell and spatial transcriptomics Electron and X-Ray Spectroscopy Techniques |
| ISSN | 2633-903X |
| Citation impact (2-yr) | 4.87 |
| h-index | 12 |
| i10-index | 14 |
| Total citations | 400 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.cambridge.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Microscopic examination of blood smears remains the gold standard for laboratory inspection and diagnosis of malaria. Smear inspection is, however, time-consuming and dependent on trained microscopists with results varying in accuracy. We sought to develop an automated image analysis method to improve accuracy and standardization of smear inspection that retains capacity for expert confirmation and…
In this paper, we summarize a global survey of 484 participants of the imaging community, conducted in 2020 through the NIH Center for Open BioImage Analysis (COBA). This 23-question survey covered experience with image analysis, scientific background and demographics, and views and requests from different members of the imaging community. Through open-ended questions we asked…
Abstract Spatially resolved transcriptomics (SRT) is a growing field that links gene expression to anatomical context. SRT approaches that use next-generation sequencing (NGS) combine RNA sequencing with histological or fluorescent imaging to generate spatial maps of gene expression in intact tissue sections. These technologies directly couple gene expression measurements with high-resolution histological or immunofluorescent images…
Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique used to probe the local environment of fluorophores. The fit-free phasor approach to FLIM data is increasingly being used due to its ease of interpretation. To date, no open-source graphical user interface (GUI) for phasor analysis of FLIM data is available in Python, thus limiting the…
Abstract Fluorescence microscopy is a critical tool for cell biology studies on bacterial cell division and morphogenesis. Because the analysis of fluorescence microscopy images evolved beyond initial qualitative studies, numerous images analysis tools were developed to extract quantitative parameters on cell morphology and organization. To understand cellular processes required for bacterial growth and division, it…
