About HiveBlot
Western blotting is one of the most fundamental techniques in molecular biology, used in nearly 8-9% of all protein-related publications. But this data is trapped in millions of PDF figures, locked behind paywalls, scattered across the literature.
The Problem
Lost Knowledge
Every western blot tells a story about which proteins are expressed in which cell lines under what conditions. That story is locked in a figure caption.
Wasted Time
A researcher wanting to know if protein X is expressed in cell line Y must manually search PubMed, open dozens of papers, scan figures, and read captions. This takes hours or days.
The Solution
HiveBlot uses computer vision and language models to automatically:
Identify
Detect western blot images in published papers
Extract
Parse protein names, cell lines, conditions, and results from captions
Aggregate
Build a searchable database linking proteins to cell lines
By the Numbers
Why It Matters
HiveBlot democratizes access to western blot data. Instead of taking hours to discover that a protein is expressed in a cell line, researchers can answer that question in seconds. This accelerates experimental design, reduces redundant work, and makes protein expression knowledge immediately actionable.
The database grows with every new publication, creating a living resource that bridges the gap between published results and active research.