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Cell segmentation in imaging-based spatial transcriptomics
Single-molecule spatial transcriptomics protocols based on in situ sequencing or
multiplexed RNA fluorescent hybridization can reveal detailed tissue organization. However …
multiplexed RNA fluorescent hybridization can reveal detailed tissue organization. However …
Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation
Advances in microscopy hold great promise for allowing quantitative and precise
measurement of morphological and molecular phenomena at the single-cell level in …
measurement of morphological and molecular phenomena at the single-cell level in …
Novel insights into Hodgkin lymphoma biology by single-cell analysis
T Aoki, C Steidl - Blood, 2023 - ashpublications.org
The emergence and rapid development of single-cell technologies mark a paradigm shift in
cancer research. Various technology implementations represent powerful tools to …
cancer research. Various technology implementations represent powerful tools to …
Seens: Nuclei segmentation in pap smear images with selective edge enhancement
Accurate nuclei segmentation, as an indispensable basis and core link for multi-cell cervical
image analysis, plays an important role in automatic pre-cancer detection. However, poor …
image analysis, plays an important role in automatic pre-cancer detection. However, poor …
Neuroblastoma cells classification through learning approaches by direct analysis of digital holograms
The label-free single cell analysis by machine and Deep Learning, in combination with
digital holography in transmission microscope configuration, is becoming a powerful …
digital holography in transmission microscope configuration, is becoming a powerful …
A Systematic Survey on Biological Cell Image Segmentation and Cell Counting Techniques in Microscopic Images Using Machine Learning
The article focuses on the concepts of Cell Image Segmentation (CIS) and the gradual
introduction of cell counting. Motivated by the rapid development of Machine learning (ML) …
introduction of cell counting. Motivated by the rapid development of Machine learning (ML) …
[HTML][HTML] Automated Seedling Contour Determination and Segmentation Using Support Vector Machine and Image Features
Boundary contour determination during seedling image segmentation is critical for accurate
object detection and morphological characterization in agricultural machine vision systems …
object detection and morphological characterization in agricultural machine vision systems …
A two-stage approach solo_GAN for overlap** cervical cell segmentation based on single-cell identification and boundary generation
Accurate cell segmentation is a pivotal step throughout the cervical cancer treatment
continuum, encompassing early screening, guiding treatment decisions, and assessing long …
continuum, encompassing early screening, guiding treatment decisions, and assessing long …
An approach of separating the overlapped cells or nuclei based on the outer Canny edges and morphological erosion
W Zhang, Z Wang - Cytometry Part A, 2024 - Wiley Online Library
In biomedicine, the automatic processing of medical microscope images plays a key role in
the subsequent analysis and diagnosis. Cell or nucleus segmentation is one of the most …
the subsequent analysis and diagnosis. Cell or nucleus segmentation is one of the most …
Bayesian segmentation of spatially resolved transcriptomics data
Spatial transcriptomics is an emerging stack of technologies, which adds spatial dimension
to conventional single-cell RNA-sequencing. New protocols, based on in situ sequencing or …
to conventional single-cell RNA-sequencing. New protocols, based on in situ sequencing or …