ReviewCurrent opinion in biotechnology2024
Defining the boundaries: challenges and advances in identifying cells in microscopy images.
Review in Current opinion in biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Cytokinesis genes regulate ring canal patterning and follicle cell differentiation inbioRxiv : the preprint server for biology · 2026Article
- A benchmark for environmental microorganism object detection on EMDS-7.Frontiers in microbiology · 2026Article
- Semi-automated image acquisition and analyses for broad users utilizing macro keyboards.Microscopy (Oxford, England) · 2025Article
- Tissue Cytometry Assay with Nuclear Segmentation for Quantifying NETotic Cells in Neutrophils Stimulated by Spermatozoa in Veterinary Species.Animals : an open access journal from MDPI · 2025Article
- Article
- Piximi - An Images to Discovery web tool for bioimages and beyond.bioRxiv : the preprint server for biology · 2024Article
- Creating and troubleshooting microscopy analysis workflows: Common challenges and common solutions.Journal of microscopy · 2024Article
- Creating and troubleshooting microscopy analysis workflows: common challenges and common solutions.ArXiv · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Segmentation, or the outlining of objects within images, is a critical step in the measurement and analysis of cells within microscopy images. While improvements continue to be made in tools that rely on classical methods for segmentation, deep learning-based tools increasingly dominate advances in the technology. Specialist models such as Cellpose continue to improve in accuracy and user-friendliness, and segmentation challenges such as the Multi-Modality Cell Segmentation Challenge continue to push innovation in accuracy across widely varying test data as well as efficiency and usability. Increased attention on documentation, sharing, and evaluation standards is leading to increased user-friendliness and acceleration toward the goal of a truly universal method.
Indexed as
Identifiers
What OpenQuestion holds
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.