Cellular responses to
tissue injury
Abstract—
1. Introduction01Edge overlap
aControl
bTreatment
cBaseline
dRecovery
2. Results03
aControl
bVehicle
cTreatment
3. Discussion
Target
123456
37 kDa
Scientific image screening
Identify image duplication within manuscripts and across published literature, with traceable evidence and expert review.
Data encryption
Data-protection measures during transfer and processing.
Privacy watermarks
Link source materials and review records for traceability.
Data retention
Retention and deletion follow the agreed service terms.
Cellular responses to
Carter et al., 2024
Mechanisms of
tissue regeneration
Abstract—
1. Introduction02Scaled reuse
aControl
bModel
cVehicle
dRecovery
2. Results03Cross-paper reuse
aModel
bBaseline
cRecovery
3. Discussion04Single-lane reuse
Target
123456
37 kDa
Alvarez et al., 2018
30,061,121 — Sub-images Scanned
Sub-images Scanned
141,241,493 — 文献图像数据库
文献图像数据库
476家 — 服务高校及机构
服务高校及机构
37家+ — 三级医院合作伙伴
三级医院合作伙伴
Trusted by leading institutions and publishers
Screening and review workflow
From image extraction to expert review, with traceable evidence at every stage.
Across experimental image types
Examine local duplication and image correspondence after cropping or geometric transformations.
DuplicationRotationFlippingScalingCloningSplicingCropping
H&E-stained images
Compare tissue structures and local textures to locate duplicated regions in histology images.
Transwell assay images
Examine cell distributions and local reuse across migration and invasion assay fields.
Western blot images
Compare band morphology and local backgrounds to locate duplicated bands or lanes.
Electron microscopy
Compare ultrastructure and texture to assess correspondence after cropping or transformation.
Flow cytometry plots
Mask quadrant lines, axes and text to examine correspondence between scatter distributions.
Wound-healing assay images
Compare cell distributions and field structure to identify possible reuse across experimental groups.
Immunofluorescence images
Examine single-channel and merged images to distinguish documented relationships from candidate duplication.
Animal imaging
Compare imaging locations and spatial signal distributions to identify repeated fields and local reuse.
Additional image typesAI-generated illustrations
Research partnerships & intellectual property
Biomedical and AI research underpin our image integrity screening.
Shanghai University
Tsinghua University
Zhejiang University
Peking UniversityInstitution logos scroll automatically. Hover or focus to pause; leave to resume. Press Space to pause or resume.
Patents & software copyrights
Patents and software copyrights support continued research and product development.
Chosen by researchers and journal editors
Professor Zhang
Peking University Research Center
FigScan's professional image-screening system helps our laboratory prevent research misconduct and improve research quality. Its straightforward, intuitive operation has significantly improved our efficiency.
karen
Nature Biotechnology
FigScan is a great addition to the peer-review process, greatly improving the efficiency and accuracy of plagiarism detection.
Professor Wang
Qilu Hospital, Shandong University
As medical researchers, we use FigScan to help ensure the originality of the images in our papers. Its detailed and accurate findings make it a dependable research assistant.Researcher Chen
Zhejiang University School of Medicine
FigScan provides a highly professional service, particularly for medical image duplication screening. Its user-friendly interface and ease of use make it a valuable assistant in our medical research.Testimonials scroll automatically. Hover or focus to pause; leave to resume. Press Space to pause or resume.
For research and editorial teams
What does expert review cover?
Reviewers examine image comparisons, captions and experimental groups to distinguish documented insets and same-field channel relationships from potential duplication. Complex cases receive additional analysis within the agreed scope, with review notes retained.
Which images and file types are supported?
Supported research imagery includes fluorescence, flow cytometry, Western blots, histology, H&E, electron microscopy, microscopy and wound-healing assays. Accepted file formats and submission limits are specified in the screening console.
How should similarity scores be interpreted?
Similarity scores indicate image correspondence; they cannot establish the nature of an issue by themselves. Findings must be reviewed alongside original images, experimental groups and captions. Reports provide technical evidence and review notes, not determinations of research misconduct.
What report will I receive?
The Image Integrity Review Report presents image locations, corresponding regions, similarity scores and review notes. Services that include literature searches also provide published-image matches. Deliverables depend on the selected service.
How can hospitals, universities and journals work with FigScan?
Institutional services can be tailored to screening volume, participating teams, confidentiality requirements and delivery format. Contact channels are listed at the bottom of this page.