Neuranicslab offers Morph X, an AI‑driven point‑of‑care platform that provides full blood count and cellular morphology results from just two drops of blood. Using a disposable microfluidic cartridge, multi‑spectral imaging, spectroscopy, and deep‑learning analysis, the system delivers rapid, high‑sensitivity diagnostics with automated visual reports, enabling clinicians in primary care, urgent care, and point‑of‑care labs to make faster decisions without centralized lab infrastructure.
Funding
$700K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Access to rapid, accurate blood count and morphology analysis is limited by centralized laboratory infrastructure, requiring venous draws, specialized equipment, and skilled technicians, which can delay diagnosis and increase costs.
Solution
Morph X is an AI-driven point‑of‑care platform that delivers full blood count and cellular morphology results from a single drop of blood. The system uses a microfluidic cartridge to collect and prepare the sample with minimal pain, then applies multi‑spectral imaging and spectroscopy to capture detailed cellular data. Deep‑learning models analyze the imaging data to detect abnormalities with high sensitivity and specificity, generating quantitative diagnostic parameters and visual reports for easy clinician review. The entire workflow is portable, requires zero maintenance, and can be performed in‑clinic or at home, enabling faster clinical decisions and broader access to high‑quality diagnostics.
Target Audience
Primary customers are primary care physicians, urgent care centers, and point‑of‑care laboratories seeking rapid, accurate blood diagnostics without reliance on central lab facilities.
Features
- Disposable microfluidic cartridge that requires only two drops of blood for complete analysis
- Multi‑spectral imaging and spectroscopy hardware integrated into a compact, portable device
- Deep‑learning algorithms that provide precise blood count, cell morphology, and abnormality detection
- Automated visual reports with cross‑validation tools for clinician confidence
- Zero‑maintenance design with no need for external reagents or complex calibration
- Cloud‑enabled data storage for secure access and longitudinal patient tracking