EHA Library - The official digital education library of European Hematology Association (EHA)

FLOW CYTOMETRY ANALYSIS SOFTWARE FOR REMOTELY LOCATED HAEMATOLOGISTS
Author(s):
Mark Kelly
Affiliations:
Haematology Department,Our Lady's Childrens Hospital Crumlin,Dublin,Ireland
(Abstract release date: 05/18/17) EHA Library. Kelly M. 05/18/17; 182405; PB1691
Mark Kelly
Mark Kelly
Contributions
Abstract

Abstract: PB1691

Type: Publication Only

Background
Current flow cytometry software packages are unsuitable in cases where the interpreter of the data isn't physically located at the computer with the software installed. This is particularly disadvantageous in urgent situations, such as in the diagnosis of acute leukemia.

Aims
Develop a tool to allow haematologists to analyse flow cytometry data from anywhere on any internet-enabled device e.g. tablet, smartphone, laptop, PC

Methods

We came up with principles a new software package should adhere to:
1. should be accessible from any Internet-enabled device e.g. iPad, Android phone, Blackberry, laptop
2. should not require installation
3. FCS data should be anonymised
4. data transfer should be secure and encrypted
5. software must include all basic functionality of flow cytometry software e.g. dot plot graphs, histogram graphs and gating
6. should put collaboration to the forefront e.g. analysis can be instantly linked to via a web URL

Results
The resulting software package is a web app which is accessible from any Internet-enabled device e.g. smartphone, tablet, laptop or PC. On mobile devices such as an iPad, touch is used for drawing of gates, selection of quadrants, selections of parameters etc. On laptop's and PCs, these are drawn via the mouse or keypad. The software utilises the latest strides made in web technologies to respond to the varying screen sizes of devices, and display suitably sized graphs and gating information accordingly.

Collaboration between parties is facilitated - a lab technician running the sample can upload the sample and instantly shared with other parties with the required permissions. Analysis, such as gating, can take place immediately and can then be instantly shared via a web URL.
No sensitive file data is displayed within the platform. All data transfer happens via SSL encryption.
Web app is available at https://www.redmatterapp.com

Conclusion
The latest web technologies can be effectively harnessed to enhance flow cytometry analysis and allow for faster, more accessible and more collaborative analysis. Within the field of haematology in particular, this opens up the option of remote diagnosis - a haematologist need to be in the lab, or even in the same country, to deliver a diagnosis.

Session topic: 4. Acute myeloid leukemia - Clinical

Keyword(s): Diagnosis

Abstract: PB1691

Type: Publication Only

Background
Current flow cytometry software packages are unsuitable in cases where the interpreter of the data isn't physically located at the computer with the software installed. This is particularly disadvantageous in urgent situations, such as in the diagnosis of acute leukemia.

Aims
Develop a tool to allow haematologists to analyse flow cytometry data from anywhere on any internet-enabled device e.g. tablet, smartphone, laptop, PC

Methods

We came up with principles a new software package should adhere to:
1. should be accessible from any Internet-enabled device e.g. iPad, Android phone, Blackberry, laptop
2. should not require installation
3. FCS data should be anonymised
4. data transfer should be secure and encrypted
5. software must include all basic functionality of flow cytometry software e.g. dot plot graphs, histogram graphs and gating
6. should put collaboration to the forefront e.g. analysis can be instantly linked to via a web URL

Results
The resulting software package is a web app which is accessible from any Internet-enabled device e.g. smartphone, tablet, laptop or PC. On mobile devices such as an iPad, touch is used for drawing of gates, selection of quadrants, selections of parameters etc. On laptop's and PCs, these are drawn via the mouse or keypad. The software utilises the latest strides made in web technologies to respond to the varying screen sizes of devices, and display suitably sized graphs and gating information accordingly.

Collaboration between parties is facilitated - a lab technician running the sample can upload the sample and instantly shared with other parties with the required permissions. Analysis, such as gating, can take place immediately and can then be instantly shared via a web URL.
No sensitive file data is displayed within the platform. All data transfer happens via SSL encryption.
Web app is available at https://www.redmatterapp.com

Conclusion
The latest web technologies can be effectively harnessed to enhance flow cytometry analysis and allow for faster, more accessible and more collaborative analysis. Within the field of haematology in particular, this opens up the option of remote diagnosis - a haematologist need to be in the lab, or even in the same country, to deliver a diagnosis.

Session topic: 4. Acute myeloid leukemia - Clinical

Keyword(s): Diagnosis

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