ConductVision Organoid Monitor
Intestinal and colorectal organoids, monitored 24/7
In a pilot, ConductVision measures the growth, buds and lumens of every visible intestinal or colorectal organoid, from images taken every 5 to 15 minutes.
24/7 monitoring
What a pilot records for each intestinal or colorectal organoid
ConductVision records each measure for every visible organoid, keyed by plate, well, organoid ID and time.
| Measure | What it shows | How often |
|---|---|---|
| Every organoid | ||
| Area | The projected area of each organoid, with its longest and shortest diameters | Every 5 to 15 minutes |
| Growth rate | How fast each organoid grows or shrinks, per hour and per day | Every 5 to 15 minutes |
| Shape | How round, long or irregular each outline is | Every 5 to 15 minutes |
| Movement | How far and how fast each organoid moves, where organoids are free to move | Every 5 to 15 minutes |
| Fusion | Two organoids joining into one, with both parent IDs kept | Each time it happens |
| Fragmentation | Organoids splitting or shedding pieces, each piece keeping its parent ID | Each time it happens |
| Structural collapse | A sudden loss of area, roundness or boundary, with a clip of the change | Each time it happens |
| Intestinal and colorectal organoids | ||
| Buds | How many gross buds each organoid has, and how fast new ones form | Every 5 to 15 minutes |
| Lumens | Visible lumens as they form and swell | Every 5 to 15 minutes |
| Cystic or budding | Whether each organoid is a round cyst or a budding organoid | Every 5 to 15 minutes |
| Treatment response | How growth, buds and lumens change after a treatment, against your controls | Every 5 to 15 minutes |
When a fusion, fragmentation or structural collapse begins, the camera images that well every minute until the change ends. Fragmentation and structural collapse describe what the camera sees in each organoid's outline, not whether its cells are alive.
Beyond the camera
What needs higher magnification or a dye
- Individual cells
- Cell polarity
- Fine epithelial layers
- Cell layout inside crypts
Evidence
What published studies found in intestinal organoids
Other research groups measured these in microscope images of intestinal organoids.
Swelling
Forskolin made intestinal organoids from healthy controls swell rapidly, and organoids from people with cystic fibrosis swelled far less.1 The swelling matched forskolin-induced anion currents in rectal biopsies, which made it a functional CFTR assay.1
Swelling in brightfield
Earlier swelling assays relied on fluorescent labels, which leak out over time and limit how long organoids can be followed.2 OrgaSegment outlined each patient-derived intestinal organoid in brightfield images, measured its swelling and told apart organoids with different CFTR mutations.2
Cystic or budding
SWIFT, a published brightfield pipeline, sorted intestinal organoids into canonical forms, among them cystic, columnar and budding, by area, circularity and brightness.3
Growth and collapse
Following single organoids over time, the SWIFT authors found that growth rates correlated with Wnt concentration and that rapidly expanding organoids tended to collapse earlier.3
Camera specification
The cameras a pilot uses
Around the clock
- A full stack of focal planes for every well, every 5 to 15 minutes
Image
- 2 µm or less per pixel
Light
- Brightfield LED light, with no dyes or labels
Incubator
- Inside your incubator, or in a chamber beside it that keeps the same conditions
References
- Dekkers JF, Wiegerinck CL, de Jonge HR, et al. (2013). A functional CFTR assay using primary cystic fibrosis intestinal organoids. Nature Medicine.
- Lefferts JW, Kroes S, Smith MB, et al. (2024). OrgaSegment: deep-learning based organoid segmentation to quantify CFTR dependent fluid secretion. Communications Biology.
- Bracq L, Guiet R, Offner S, et al. (2026). A Single-organoid Workflow for quantitative Imaging classiFication and Tracking (SWIFT). Communications Biology.
- Kassis T, Hernandez-Gordillo V, Langer R, et al. (2019). OrgaQuant: Human Intestinal Organoid Localization and Quantification Using Deep Convolutional Neural Networks. Scientific Reports.
Plan an intestinal organoid pilot
Tell us about your intestinal or colorectal organoids, your plates and the first question you want answered.
