Publications by authors named "Tianxiang Song"

Article Synopsis
  • - Fluorescence in Situ Hybridization (FISH) is a method for identifying macromolecules using DNA or RNA probes with fluorescent tags, allowing visualization of specific sequences in cells through microscopy.
  • - The analysis of FISH images is challenging due to the large number of cells and complex nucleic acid arrangements, often requiring time-consuming manual processing that can lead to errors.
  • - The proposed solution integrates medical imaging with deep learning to create an automated system that quickly detects fluorescent spots, outperforming traditional models like YOLO in accuracy, which is important for assessing cellular traits in cancer diagnosis.
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Fluorescence in situ hybridization (FISH) is a powerful cytogenetic method used to precisely detect and localize nucleic acid sequences. This technique is proving to be an invaluable tool in medical diagnostics and has made significant contributions to biology and the life sciences. However, the number of cells is large and the nucleic acid sequences are disorganized in the FISH images taken using the microscope.

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Embryonic stem cells (ESCs) are pluripotent stem cells that have indefinite self-renewal capacities under appropriate culture conditions . The pluripotency maintenance and proliferation of these cells are delicately governed by the concert effect of a complex transcriptional regulatory network. Herein, we discovered that p57 (p57), a cyclin-dependent kinase inhibitor canonically inhibiting cell proliferation, played a role in suppressing the pluripotency state of mouse ESCs (mESCs).

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