ConductVision Organoid Monitor

Every visible organoid, monitored 24/7

In a pilot, cameras image your organoid plates 24/7, every 5 to 15 minutes, and ConductVision measures each visible organoid's size, shape, movement and events such as fusion.

Plan a pilot What a pilot records

Brightfield camera images of one human cortical organoid at 0, 43 and 86 hours, growing larger, beside a chart of its area rising over the same period. — Ly et al. 2021 · Fig. 8d, rearranged · CC BY 4.0Another research group's low-cost camera system, the Picroscope, imaged this human cortical organoid in Matrigel every hour inside a tissue culture incubator. The frames show it at 0, 43 and 86 hours, and the chart plots its area at each time point. A pilot gives you a record like this for every visible organoid.

Data points

What a pilot records for every organoid

Each visible organoid gets its own time series, and each well gets a summary.

Size

Projected area
Diameter, longest and shortest
Perimeter

Growth

Growth per hour and per day
Area doubling time, while growth is steady
Growth arrest, shrinkage and regrowth

Shape

Circularity and roundness
Eccentricity and aspect ratio
Solidity and convexity
Buds and visible lumens, where the camera resolves them

Appearance

Brightness and texture

Movement

Position, distance and speed
Contact with neighbors

Events

Fusion
Fragmentation
Structural collapse
Changes unlike the organoid's own history or its neighbors, each with its clip

Each well

Count of visible organoids
The spread of size and shape
Growth, shape and event rates in each treated well, against the controls you mark

In every data file

A row per organoid per time point, keyed by plate, well, organoid ID and time
Sizes in micrometers and times in hours
Parent and new IDs after each fusion or fragmentation
A quality flag on every measurement
CSV, JSON or Parquet

Time series

A growth curve for every organoid

Each curve follows one organoid, measured automatically across a 92-hour time-lapse.¹ A pilot keeps a curve like these for each visible organoid, with its shape and events.

Line chart of area against time for four organoids over 92 hours, each growing at its own pace. — Matthews et al. 2022 · Fig. 2e, cropped · CC BY 4.0Areas of four organoids that OrganoID, a published tracking tool, measured automatically over a 92-hour microscope time-lapse.

What a pilot covers

Four parts of an organoid pilot

Growth and shape
Size, growth rate and shape for each organoid, measured around the clock for the whole experiment.
Growth and shape
Tracking and events
Each visible organoid followed under its own ID, with its moves, fusions, fragmentations and collapses logged.
Tracking and events
Treatment response
When a treatment starts to act, on which organoids, and whether they recover or regrow.
Treatment response
Setup, data and quality control
Cameras inside your incubator or in a chamber beside it, data files you can analyze, and image problems flagged.
Setup, data and quality control

Organoid models

Measures for each organoid model

Kassis et al. 2019 · Fig. 1g, cropped · CC BY 4.0
Intestinal and colorectal organoids
Growth, buds and lumens for each organoid, including lumens swelling after a treatment.
Yu et al. 2025 · Fig. 1B, cropped, resized · CC BY 4.0
Tumor organoids
Organoid count per well, growth and regrowth for each organoid, and how responses differ within each well.
Shamshirgaran et al. 2021 · Fig. 4B, cropped, enlarged · CC BY 4.0
Kidney organoids
Size and shape of each organoid, and its visible cysts as they form, swell and fuse.
Ivanov et al. 2014 · Fig. 6A, cropped, resized · CC BY 4.0
Spheroids and other 3D cultures
Diameter, volume and shape of each spheroid, neurosphere or other cell aggregate, and invasion into a gel.

All organoid models

Cameras

The cameras ConductScience supplies

ConductScience supplies and sets up cameras that meet these requirements for each pilot, and plans to sell them to labs.

Around the clock

A full stack of focal planes for every well every 5 to 15 minutes, 24/7
An image a minute of a well from the moment a large change appears until it settles, while the other wells keep their schedule

Image

2 µm or less per pixel
Each organoid measured in the focal plane where it is sharpest

Light

Brightfield LED light, on only while a picture is taken
No dyes or labels

Incubator

Runs inside your incubator, or in a chamber beside it that holds the same temperature, humidity and CO₂, with the lid on
Warms the plate by less than 0.5 °C, with the temperature logged

Full camera specification

Continuous monitoring

What continuous monitoring adds to an endpoint study

Deben and colleagues note that organoid analysis methods often measure a single time point.² An endpoint study might add images on day 0 and day 3 before its day 7 assay. Imaging a well every 5 minutes records 2,016 time points over the same 7 days.

Hof and colleagues imaged hundreds of mouse pancreas and human bile duct cancer organoids for up to 7 days and saw lumens swell and shrink, organoids migrate and rotate, and neighbors fuse.³

Every organoid

Each organoid measured on its own

Organoids in one culture differ in size and shape.⁴ The authors of OrganoSeg, a published brightfield tool, note that analyses largely ignore this spread.⁴ Their tool profiled 5,167 breast cancer spheroids and 5,743 organoids from colorectal cancer patients' normal and tumor tissue, one by one.⁴

In a pilot, every organoid keeps its own record, and each well's summary shows the spread.

Treatment response

Brightfield image of an extracellular matrix dome holding dozens of round cystic organoids, each filled with a color. — Deben et al. 2023 · Fig. 8A, cropped · CC BY 4.0Cystic pancreatic cancer organoids in an extracellular matrix dome, segmented from a brightfield image by OrBITS, Deben and colleagues' time-lapse tool. Different colors mark organoids segmented as separate objects.

Camera and microscope

What a camera can see

With a camera, a pilot measures whole organoids: their size, shape, movement and visible lumens. Measurements of the cells inside an organoid need a microscope.

What a camera cannot measure

Pilot

How a pilot works

1
Tell us about your cultures
Your organoid type, plates and incubator, and the first question you want answered.
2
Camera setup
We set up cameras, lenses and lighting for your plates, then check which measurements the images are sharp enough for.
3
Monitoring
The cameras image every well around the clock. When an event starts, such as an organoid fragmenting, they image that well more often until it ends.
4
Results
Data files, an event log with video clips, a report, and how closely the camera's measurements matched the same organoids measured by hand by a ConductVision engineer.

Questions labs ask

Do I need a microscope?

Not for whole-organoid measurements such as size, shape, growth and movement. Measurements of individual cells need a microscope. Microscope images of 3D cultures are a separate ConductVision analysis, outside this pilot.

Where do the cameras go?

Inside your incubator, or in a chamber beside it that keeps the same conditions, depending on the incubator and your plates. The pilot checks focus, lighting and condensation before it reports any measure.

Will it tell me which organoids are dead?

Not on its own. It reports what the camera sees, such as size, shape, brightness and texture. A pilot adds a label such as dead or viable only after checking it against your own assay.

What does a pilot cost, and how long does it run?

Both depend on how many plates and cameras the pilot uses. Our proposal states the cost and length before any work starts.

Who keeps the images and data?

Your lab keeps its images and data. Each pilot starts with a written plan for storage, access and deletion.

References

Matthews JM, Schuster B, Kashaf SS, et al. (2022). OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics. PLOS Computational Biology.
Deben C, De La Hoz EC, Compte ML, et al. (2023). OrBITS: label-free and time-lapse monitoring of patient derived organoids for advanced drug screening. Cellular Oncology.
Hof L, Moreth T, Koch M, et al. (2021). Long-term live imaging and multiscale analysis identify heterogeneity and core principles of epithelial organoid morphogenesis. BMC Biology.
Borten MA, Bajikar SS, Sasaki N, et al. (2018). Automated brightfield morphometry of 3D organoid populations by OrganoSeg. Scientific Reports.
Ly VT, Baudin PV, Pansodtee P, et al. (2021). Picroscope: low-cost system for simultaneous longitudinal biological imaging. 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.
Yu H, Lin C, Chen F, et al. (2025). Dose response test of patient-derived cancer organoids to irradiation. Frontiers in Oncology.
Shamshirgaran Y, Jonebring A, Svensson A, et al. (2021). Rapid target validation in a Cas9-inducible hiPSC derived kidney model. Scientific Reports.
Ivanov DP, Parker TL, Walker DA, et al. (2014). Multiplexing Spheroid Volume, Resazurin and Acid Phosphatase Viability Assays for High-Throughput Screening of Tumour Spheroids and Stem Cell Neurospheres. PLOS ONE.

Plan an organoid monitoring pilot

Tell us your organoid type, your plates and the first question you want answered.

Plan a pilot Research and accuracy