Digitizing the Physical Lab Through Hardware-Software Synergy. We built a robotic, 6-slide autonomous imaging device paired with a 13-inch touch interface. The core philosophy was Asynchronous Autonomy—shifting the technician’s workflow from 30 minutes of high-stress active labor to 30 seconds of passive loading.
For decades, Peripheral Blood Smear (PBS) analysis relied on a high-friction, analog loop: manual microscopy. A lab technician would spend roughly 5 minutes per slide hunched over a lens, adjusting focus knobs, and mentally tallying cells.
This manual process hit three severe limitations:
The Consistency Ceiling: Human accuracy degrades with fatigue. A technician’s muscle memory and visual acuity at 4:00 PM are vastly different than at 9:00 AM.
The Geography Problem: Without digital evidence, expert pathologists could not instantly review complex cases remotely, delaying patient treatment.
The Active Time Tax: Technicians were tethered to the microscope, preventing them from handling other critical lab duties.
Design an autonomous hardware-software ecosystem that completely removes the need for manual microscopy and the occupational hazards of prolonged lens work.
Enforce full digital traceability by seamlessly marrying physical blood samples to digital patient records through internal barcode reading and automated data mapping.
Shift the technician’s role from 30 minutes of active, high-stress labor to 30 seconds of passive tray loading, freeing them for higher-level lab duties.
In a regulated medical environment, data integrity is paramount. Technicians log in securely and are guided through automated daily Quality Control. We treated the physical lab as the secure perimeter, intentionally omitting auto-timeout to prevent constant re-logins. The device utilizes an internal camera to read slide barcodes during pre-scan, flawlessly marrying the physical blood sample to the digital patient record.
Before wasting 3 minutes on a deep scan, a rapid pre-scan camera checks for upside-down slides, poor smears, or air bubbles. If a slide fails the pre-scan, the system logs the error, skips it, and immediately moves to the next—refusing to halt the entire tray. The 6-slide tray was physically engineered so the smear area is suspended over empty space, keeping the tray completely clean when oil drops.
Our research uncovered a critical edge case: thin fingers inside loose nitrile gloves. The excess rubber caused frequent mis-targets on standard UI components. We established an uncompromising minimum 12mm touch target for all critical actions, structurally engineering “fat-finger” errors out of the system.
Under bright lab lights, dark screens act like mirrors. We designed a high-contrast Light Mode UI. Our positive-polarity interface blasts through ambient glare and seamlessly matches the sterile white aesthetic of the physical machine.
The 13-inch display acts as an ambient dashboard. We utilized a vertical list view for 6 slides, ensuring scale to 12 or 24 slides in future hardware. From 6 meters away, text is unreadable—so we stripped away visual noise in favor of stark, filled regulatory iconography (Blue Check, Red X, Orange Exclamation), combined with distinct PCB audio chimes.
Developer handoff wasn’t just shipping a Figma file. Our “Pixel-to-Physical” testing deployed UI builds directly onto the actual machine. We forced engineers and QA testers to wear nitrile gloves and operate the touch screen under fluorescent lights to verify that 12mm defensive padding and visual contrast held up in the real world.
Rapid camera checks for upside-down slides, poor smears, or air bubbles before committing to a 3-minute deep scan. Fail fast, keep moving—maximizing batch throughput.
The 6-slide tray was physically engineered so the glass slide's smear area is suspended over empty space, eliminating the need for daily chemical wipe-downs when oil is applied.
All critical actions meet an uncompromising 12mm minimum touch target, structurally engineering “fat-finger” errors out of the system for gloved interaction.
Strict regulatory colors mapped to semantic roles (e.g., Status / Critical-Fail). Poppins typeface chosen for geometric letterforms that prevent character blurring of alphanumeric patient IDs.
Medical interfaces cannot be designed in a vacuum—rigorous usability testing under real lab conditions (gloves, fluorescent lights, distance) is non-negotiable.
Asynchronous Autonomy is the key principle: shift from active human labor to passive supervision wherever possible.
Hardware-software synergy means the UX extends to the physical tray design, the oil mechanism, and the barcode reader—not just pixels on screen.
The ‘Fail Fast, Keep Moving’ pattern applies to medical devices: never halt an entire batch for one bad slide.